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Abstract | +Title | +Authors | +Publication Date | +Journal/ Conference | +Citation count | +Highest h-index | ++ View recommendations + | +
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visibility_off | ++ Discovering governing equations from data by sparse identification of nonlinear dynamical systems + + | ++ S. Brunton, J. Proctor, J. Kutz + | +2015-09-11 | +Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences of the United States of America | +3132 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression + + | ++ Patrick A. K. Reinbold, Logan Kageorge, M. Schatz, R. Grigoriev + | +2021-02-24 | +Nature Communications | +83 | +23 | + ++ open_in_new + | + +
visibility_off | ++ Data-driven discovery of coordinates and governing equations + + | ++ Kathleen P. Champion, Bethany Lusch, J. Kutz, S. Brunton + | +2019-03-29 | +Proceedings of the National Academy of Sciences of the United States of America | +591 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Chaos as an intermittently forced linear system + + | ++ S. Brunton, Bingni W. Brunton, J. Proctor, E. Kaiser, J. Kutz + | +2016-08-18 | +Nature Communications | +442 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Sparse identification of nonlinear dynamics for model predictive control in the low-data limit + + | ++ E. Kaiser, J. Kutz, S. Brunton + | +2017-11-15 | +Proceedings of the Royal Society A, Proceedings. Mathematical, Physical, and Engineering Sciences | +424 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics + + | ++ N. Mangan, S. Brunton, J. Proctor, J. Kutz + | +2016-05-26 | +IEEE Transactions on Molecular Biological and Multi-Scale Communications, IEEE Transactions on Molecular, Biological and Multi-Scale Communications | +312 | +63 | + ++ open_in_new + | + +
visibility_off | ++ SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics + + | ++ Kadierdan Kaheman, J. Kutz, S. Brunton + | +2020-04-05 | +Proceedings of the Royal Society A, Proceedings. Mathematical, Physical, and Engineering Sciences | +187 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Multidimensional Approximation of Nonlinear Dynamical Systems + + | ++ Patrick Gelß, Stefan Klus, J. Eisert, Christof Schutte + | +2018-09-07 | +Journal of Computational and Nonlinear Dynamics | +61 | +76 | + ++ open_in_new + | + +
visibility_off | ++ Learning Discrepancy Models From Experimental Data + + | ++ Kadierdan Kaheman, E. Kaiser, B. Strom, J. Kutz, S. Brunton + | +2019-09-18 | +arXiv.org, ArXiv | +31 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Discovery of Physics From Data: Universal Laws and Discrepancies + + | ++ Brian M. de Silva, D. Higdon, S. Brunton, J. Kutz + | +2019-06-19 | +Frontiers in Artificial Intelligence | +66 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Data-driven discovery of partial differential equations + + | ++ S. Rudy, S. Brunton, J. Proctor, J. Kutz + | +2016-09-21 | +Science Advances | +1161 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control + + | ++ Urban Fasel, J. Kutz, Bingni W. Brunton, S. Brunton + | +2021-11-22 | +Proceedings of the Royal Society A, Proceedings. Mathematical, Physical, and Engineering Sciences | +154 | +63 | + ++ open_in_new + | + +
visibility_off | ++ Learning sparse nonlinear dynamics via mixed-integer optimization + + | ++ D. Bertsimas, Wes Gurnee + | +2022-06-01 | +Nonlinear Dynamics | +27 | +90 | + ++ open_in_new + | + +
visibility_off | ++ A Unified Framework for Sparse Relaxed Regularized Regression: SR3 + + | ++ P. Zheng, T. Askham, S. Brunton, J. Kutz, A. Aravkin + | +2018-07-14 | +IEEE Access | +114 | +63 | + ++ open_in_new + | + +
Abstract | +Title | +Authors | +Publication Date | +Journal/ Conference | +Citation count | +Highest h-index | +View recommendations | +
+
Abstract | +Title | +Authors | +Publication Date | +Journal/Conference | +Citation count | +Highest h-index | +
---|---|---|---|---|---|---|
visibility_off | ++ Discovering governing equation in structural dynamics from acceleration-only measurements + + | ++ Calvin Alvares, Souvik Chakraborty + | +2024-07-18 | +ArXiv | +0 | +0 | +
visibility_off | ++ Discovery of differential equations using sparse state and parameter regression + + | ++ Teddy Meissner, Karl Glasner + | +2024-06-10 | +ArXiv | +0 | +0 | +
visibility_off | ++ VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification + + | ++ Paolo Conti, Jonas Kneifl, Andrea Manzoni, A. Frangi, Jörg Fehr, S. Brunton, J. Kutz + | +2024-05-31 | +ArXiv | +1 | +63 | +
visibility_off | ++ Minimum Reduced-Order Models via Causal Inference + + | ++ Nan Chen, Honghu Liu + | +2024-06-29 | +ArXiv | +0 | +0 | +
visibility_off | ++ Data-driven system identification of unknown systems utilising sparse identification of nonlinear dynamics (SINDy) + + | ++ P. Pandey, H. Haddad Khodaparast, M. Friswell, T. Chatterjee, N. Jamia, T. Deighan + | +2024-06-01 | +Journal of Physics: Conference Series | +0 | +1 | +
visibility_off | ++ Learning dynamical systems from data: An introduction to physics-guided deep learning + + | ++ Rose Yu, Rui Wang + | +2024-06-24 | +Proceedings of the National Academy of Sciences of the United States of America | +1 | +1 | +
visibility_off | ++ Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data + + | ++ Victor Churchill + | +2024-07-15 | +ArXiv | +0 | +0 | +
visibility_off | ++ Sparse identification of quasipotentials via a combined data-driven method + + | ++ Bo Lin, P. Belardinelli + | +2024-07-06 | +ArXiv | +0 | +12 | +
visibility_off | ++ Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems + + | ++ Adarsh Iyer, N. Boddupalli, Jeff Moehlis + | +2024-06-05 | +ArXiv | +0 | +5 | +
visibility_off | ++ Iterative Sparse Identification of Nonlinear Dynamics + + | ++ Jinho Choi + | +2024-06-06 | +ArXiv | +0 | +0 | +
visibility_off | ++ KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics + + | ++ Benjamin C. Koenig, Suyong Kim, Sili Deng + | +2024-07-05 | +ArXiv | +1 | +22 | +
visibility_off | ++ Physics-informed active learning with simultaneous weak-form latent space dynamics identification + + | ++ Xiaolong He, April Tran, David M. Bortz, Youngsoo Choi + | +2024-06-29 | +ArXiv | +0 | +3 | +
visibility_off | ++ Data-Driven Linearization of Dynamical Systems + + | ++ George Haller, B. Kasz'as + | +2024-07-11 | +ArXiv | +0 | +0 | +
visibility_off | ++ Learning Networked Dynamical System Models with Weak Form and Graph Neural Networks + + | ++ Yin Yu, Daning Huang, Seho Park, H. Pangborn + | +2024-07-23 | +ArXiv | +0 | +11 | +
visibility_off | ++ MBD-NODE: physics-informed data-driven modeling and simulation of constrained multibody systems + + | ++ Jingquan Wang, Shu Wang, H. Unjhawala, Jinlong Wu, D. Negrut + | +2024-07-11 | +Multibody System Dynamics | +0 | +28 | +
visibility_off | ++ Extracting self-similarity from data + + | ++ Nikos Bempedelis, Luca Magri, Konstantinos Steiros + | +2024-07-15 | +ArXiv | +0 | +0 | +
visibility_off | ++ Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints + + | ++ Yunjin Tong + | +2024-06-20 | +ArXiv | +0 | +0 | +
visibility_off | ++ Machine Learning Conservation Laws of Dynamical systems + + | ++ Meskerem Abebaw Mebratie, Rudiger Nather, Guido Falk von Rudorff, Werner M. Seiler + | +2024-05-31 | +ArXiv | +0 | +5 | +
visibility_off | ++ Koopman-LQR Controller for Quadrotor UAVs from Data + + | ++ Zeyad M. Manaa, Ayman M. Abdallah, Mohammad A. Abido, Syed S. Azhar Ali + | +2024-06-25 | +ArXiv | +1 | +1 | +
visibility_off | ++ Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems + + | ++ James H. Adler, Samuel Hocking, Xiaozhe Hu, Shafiqul Islam + | +2024-07-25 | +ArXiv | +0 | +2 | +
visibility_off | ++ Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning + + | ++ Tobias Nagel, Marco F. Huber + | +2024-06-28 | +ArXiv | +0 | +2 | +
visibility_off | ++ Development of data-driven modeling method for nonlinear coupling components + + | ++ Taesan Ryu, Seunghun Baek + | +2024-06-27 | +Scientific Reports | +0 | +0 | +
visibility_off | ++ Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm + + | ++ Brendan Lenfesty, Saugat Bhattacharyya, KongFatt Wong-Lin + | +2024-06-03 | +ArXiv | +0 | +1 | +
visibility_off | ++ Tangent and Normal Space-Based Method for Dynamics Identification in Microgrids + + | ++ Hanyang He, John Harlim, Daning Huang, Yan Li + | +2024-06-19 | +2024 IEEE Transportation Electrification Conference and Expo (ITEC) | +0 | +0 | +
visibility_off | ++ Extended Lagrangian-Informed Deep Learning and Control for Electro-mechanical Systems + + | ++ Nikhil Pagar, Pegah Ghaf-Ghanbari, Atul G. Kelkar, Javad Mohammadpour Velni + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +13 | +
visibility_off | ++ Tensor-Based Data-Driven Identification of Partial Differential Equations + + | ++ Wanting Lin, Xiaofan Lu, Linan Zhang + | +2024-06-10 | +Journal of Computational and Nonlinear Dynamics | +0 | +1 | +
visibility_off | ++ Identification of Recurrent Dynamics in Distributed Neural Populations + + | ++ R. Osuna-Orozco, Edward Castillo, K. Harris, Samantha R. Santacruz + | +2024-06-01 | +bioRxiv | +0 | +15 | +
visibility_off | ++ Physics-constrained learning for PDE systems with uncertainty quantified port-Hamiltonian models + + | ++ Kaiyuan Tan, Peilun Li, Thomas Beckers + | +2024-06-17 | +DBLP, ArXiv | +0 | +1 | +
visibility_off | ++ Model fusion for efficient learning of nonlinear dynamical systems + + | ++ Vatsal Kedia, Vivek S. Pinnamaraju, Dinesh Patil + | +2024-06-06 | +ArXiv | +0 | +2 | +
visibility_off | ++ Amortized Equation Discovery in Hybrid Dynamical Systems + + | ++ Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, E. Gavves + | +2024-06-06 | +ArXiv | +0 | +36 | +
visibility_off | ++ Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems + + | ++ Katiana Kontolati, S. Goswami, G. Em Karniadakis, Michael D Shields + | +2024-06-14 | +Nature Communications | +3 | +19 | +
visibility_off | ++ On instabilities in neural network-based physics simulators + + | ++ Daniel Floryan + | +2024-06-18 | +ArXiv | +1 | +0 | +
visibility_off | ++ Physiology-informed regularization enables training of universal differential equation systems for biological applications + + | ++ Max de Rooij, Balázs Erdős, N. V. van Riel, Shauna D. O’Donovan + | +2024-06-01 | +bioRxiv | +0 | +5 | +
visibility_off | ++ Flatness-Based Identification of Nonlinear Dynamics + + | ++ Alexander M. Kopp, Lisa Fuchs, Christoph Ament + | +2024-06-11 | +2024 32nd Mediterranean Conference on Control and Automation (MED) | +0 | +0 | +
visibility_off | ++ An overview of systems-theoretic guarantees in data-driven model predictive control + + | ++ J. Berberich, Frank Allgöwer + | +2024-06-06 | +ArXiv | +1 | +21 | +
visibility_off | ++ Model Predictive Control of the Neural Manifold + + | ++ Christof Fehrman, C. D. Meliza + | +2024-06-21 | +ArXiv | +0 | +6 | +
visibility_off | ++ Optimal Sparsity in Nonlinear Non-Parametric Reduced Order Models for Transonic Aeroelastic Systems + + | ++ M. Candon, Errol Hale, Maciej Balajewicz, Arturo Delgado-Gutiérrez, Pier Marzocca + | +2024-07-11 | +ArXiv | +1 | +7 | +
visibility_off | ++ Neural empirical interpolation method for nonlinear model reduction + + | ++ Max Hirsch, F. Pichi, J. Hesthaven + | +2024-06-05 | +ArXiv | +0 | +64 | +
visibility_off | ++ Modeling Unknown Stochastic Dynamical System Subject to External Excitation + + | ++ Yuan Chen, Dongbin Xiu + | +2024-06-22 | +ArXiv | +0 | +1 | +
visibility_off | ++ Learning interpretable dynamics of stochastic complex systems from experimental data + + | ++ Tingting Gao, B. Barzel, Gang Yan + | +2024-07-17 | +Nature Communications | +0 | +18 | +
visibility_off | ++ Polynomial Chaos-based Stochastic Model Predictive Control: An Overview and Future Research Directions + + | ++ Prabhat Kumar Mishra, J. Paulson, R. Braatz + | +2024-06-15 | +ArXiv | +0 | +73 | +
visibility_off | ++ Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models + + | ++ Christopher W. Curtis, Erik Bollt, D. J. Alford-Lago + | +2024-06-17 | +ArXiv | +0 | +2 | +
visibility_off | ++ Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing + + | ++ Keita Tokuda, Yuichi Katori + | +2024-06-20 | +ArXiv | +0 | +10 | +
visibility_off | ++ Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification + + | ++ Christian Offen + | +2024-07-10 | +ArXiv | +0 | +0 | +
visibility_off | ++ Data-driven modeling from biased small training data using periodic orbits + + | ++ Kengo Nakai, Yoshitaka Saiki + | +2024-07-06 | +ArXiv | +0 | +4 | +
visibility_off | ++ System stabilization with policy optimization on unstable latent manifolds + + | ++ Steffen W. R. Werner, B. Peherstorfer + | +2024-07-08 | +ArXiv | +0 | +27 | +
visibility_off | ++ On examining the predictive capabilities of two variants of PINN in validating localised wave solutions in the generalized nonlinear Schr\"{o}dinger equation + + | ++ K. Thulasidharan, N. Sinthuja, N. VishnuPriya, M. Senthilvelan + | +2024-07-10 | +ArXiv | +0 | +3 | +
visibility_off | ++ Learning Transformed Dynamics for Efficient Control Purposes + + | ++ C. Ghnatios, Joel Mouterde, Jerome Tomezyk, Joaquim Da Silva, Francisco Chinesta + | +2024-07-19 | +Mathematics | +0 | +13 | +
visibility_off | ++ Parameter inference from a non-stationary unknown process + + | ++ Kieran S. Owens, Ben D. Fulcher + | +2024-07-12 | +ArXiv | +0 | +1 | +
visibility_off | ++ Limits and Powers of Koopman Learning + + | ++ Matthew J. Colbrook, Igor Mezi'c, Alexei Stepanenko + | +2024-07-08 | +ArXiv | +0 | +16 | +
visibility_off | ++ Data-driven optimal prediction with control + + | ++ Aleksandr Katrutsa, Ivan V. Oseledets, Sergey Utyuzhnikov + | +2024-06-04 | +ArXiv | +0 | +4 | +
visibility_off | ++ Learning deformable linear object dynamics from a single trajectory + + | ++ Shamil Mamedov, A. R. Geist, Ruan Viljoen, Sebastian Trimpe, Jan Swevers + | +2024-07-03 | +ArXiv | +0 | +6 | +
visibility_off | ++ Learning dynamical models from stochastic trajectories + + | ++ Pierre Ronceray + | +2024-06-04 | +ArXiv | +0 | +0 | +
visibility_off | ++ Numerical Evidence for Sample Efficiency of Model-Based Over Model-Free Reinforcement Learning Control of Partial Differential Equations + + | ++ Stefan Werner, Sebastian Peitz + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +0 | +
visibility_off | ++ Physics-enhanced Neural Operator for Simulating Turbulent Transport + + | ++ Shengyu Chen, P. Givi, Can Zheng, Xiaowei Jia + | +2024-05-31 | +ArXiv | +0 | +31 | +
visibility_off | ++ Robust parameter estimation and identifiability analysis with Hybrid Neural Ordinary Differential Equations in Computational Biology + + | ++ Stefano Giampiccolo, Federico Reali, Anna Fochesato, Giovanni Iacca, Luca Marchetti + | +2024-06-12 | +bioRxiv | +0 | +6 | +
visibility_off | ++ Fitting micro-kinetic models to transient kinetics of temporal analysis of product reactors using kinetics-informed neural networks + + | ++ Dingqi Nai, G. S. Gusmão, Zachary Kilwein, Fani Boukouvala, A. Medford + | +2024-06-20 | +ArXiv | +0 | +40 | +
visibility_off | ++ Active search for Bifurcations + + | ++ Y. M. Psarellis, T. Sapsis, I. G. Kevrekidis + | +2024-06-17 | +ArXiv | +0 | +37 | +
visibility_off | ++ Computation and Control of Unstable Steady States for Mean Field Multiagent Systems + + | ++ Sara Bicego, D. Kalise, G. Pavliotis + | +2024-06-17 | +ArXiv | +0 | +32 | +
visibility_off | ++ Adapting Physics-Informed Neural Networks To Optimize ODEs in Mosquito Population Dynamics + + | ++ D. V. Cuong, Branislava Lali'c, Mina Petri'c, Binh Nguyen, M. Roantree + | +2024-06-07 | +ArXiv | +0 | +17 | +
visibility_off | ++ Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery + + | ++ Jie Feng, Haohan Zou, Yuanyuan Shi + | +2024-06-21 | +ArXiv | +0 | +0 | +
visibility_off | ++ Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model + + | ++ C. Etienam, Juntao Yang, O. Ovcharenko, Issam Said + | +2024-06-02 | +ArXiv | +0 | +4 | +
visibility_off | ++ Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes + + | ++ Peter Zaspel, Michael Günther + | +2024-06-26 | +ArXiv | +0 | +2 | +
visibility_off | ++ Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data + + | ++ M. Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, M. Dahmen + | +2024-06-03 | +ArXiv | +0 | +13 | +
visibility_off | ++ Inferring stochastic low-rank recurrent neural networks from neural data + + | ++ Matthijs Pals, A. E. Saugtekin, Felix Pei, Manuel Gloeckler, J. H. Macke + | +2024-06-24 | +ArXiv | +0 | +3 | +
visibility_off | ++ Data‐driven variational method for discrepancy modeling: Dynamics with small‐strain nonlinear elasticity and viscoelasticity + + | ++ Arif Masud, Shoaib A. Goraya + | +2024-07-04 | +International Journal for Numerical Methods in Engineering | +0 | +3 | +
visibility_off | ++ Modeling Randomly Observed Spatiotemporal Dynamical Systems + + | ++ V. Iakovlev, Harri Lähdesmäki + | +2024-06-01 | +ArXiv | +0 | +2 | +
visibility_off | ++ Data-Driven Loewner Matrices-Based Modeling and Model Predictive Control of a Single Machine Infinite Bus Model + + | ++ T. Ionescu, O. Iftime, Ion Necoara + | +2024-06-11 | +2024 32nd Mediterranean Conference on Control and Automation (MED) | +0 | +11 | +
visibility_off | ++ Nonlinear Data-Driven Moment Matching in Reproducing Kernel Hilbert Spaces + + | ++ Alessio Moreschini, Matteo Scandella, Thomas Parisini + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +2 | +
visibility_off | ++ A Data-Driven Approach to Set-Theoretic Model Predictive Control for Nonlinear Systems + + | ++ Francesco Giannini, Domenico Famularo + | +2024-06-23 | +Information | +0 | +0 | +
visibility_off | ++ Sparsifying dimensionality reduction of PDE solution data with Bregman learning + + | ++ T. J. Heeringa, Christoph Brune, Mengwu Guo + | +2024-06-18 | +ArXiv | +0 | +1 | +
visibility_off | ++ Model Updating for Nonlinear Systems with Stability Guarantees + + | ++ Farhad Ghanipoor, C. Murguia, Peyman Mohajerin Esfahani, N. Wouw + | +2024-06-10 | +ArXiv | +0 | +47 | +
visibility_off | ++ Stochastic modeling of stationary scalar Gaussian processes in continuous time from autocorrelation data + + | ++ Martin Hanke + | +2024-06-24 | +Advances in Computational Mathematics | +0 | +0 | +
visibility_off | ++ Pi-fusion: Physics-informed diffusion model for learning fluid dynamics + + | ++ Jing Qiu, Jiancheng Huang, Xiangdong Zhang, Zeng Lin, Minglei Pan, Zengding Liu, F. Miao + | +2024-06-06 | +ArXiv | +1 | +20 | +
visibility_off | ++ Random features approximation for control-affine systems + + | ++ Kimia Kazemian, Yahya Sattar, Sarah Dean + | +2024-06-10 | +ArXiv | +0 | +1 | +
visibility_off | ++ Physics Based&Machine Learning Methods For Uncertainty Estimation In Turbulence Modeling + + | ++ Minghan Chu + | +2024-07-15 | +ArXiv | +0 | +2 | +
visibility_off | ++ Modeling trajectories using functional linear differential equations + + | ++ Julia Wrobel, Britton A. Sauerbrei, Erik A. Kirk, Jian-Zhong Guo, A. Hantman, Jeff Goldsmith + | +2024-06-27 | +ArXiv | +0 | +24 | +
visibility_off | ++ Physics and geometry informed neural operator network with application to acoustic scattering + + | ++ S. Nair, Timothy F. Walsh, Greg Pickrell, Fabio Semperlotti + | +2024-06-02 | +ArXiv | +0 | +4 | +
visibility_off | ++ Neural Green's Operators for Parametric Partial Differential Equations + + | ++ Hugo Melchers, Joost Prins, Michael Abdelmalik + | +2024-06-04 | +ArXiv | +1 | +0 | +
visibility_off | ++ Evolutionary and Sparse Regression Approach for Data-Driven Modelling of an Overhead Crane Dynamics + + | ++ Tom Kusznir, Jarosław Smoczek, Bolesław Karwat + | +2024-08-01 | +Advances in Science and Technology Research Journal | +0 | +3 | +
visibility_off | ++ Solving Differential Equations using Physics-Informed Deep Equilibrium Models + + | ++ Bruno Machado Pacheco, E. Camponogara + | +2024-06-05 | +ArXiv | +0 | +22 | +
visibility_off | ++ Data-driven discovery of self-similarity using neural networks + + | ++ Ryota Watanabe, Takanori Ishii, Yuji Hirono, Hirokazu Maruoka + | +2024-06-06 | +ArXiv | +0 | +0 | +
visibility_off | ++ Tensor networks enable the calculation of turbulence probability distributions + + | ++ Nikita Gourianov, P. Givi, Dieter Jaksch, Stephen B. Pope + | +2024-07-12 | +ArXiv | +0 | +31 | +
visibility_off | ++ A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S) + + | ++ D. Landgraf, Andreas Volz, Knut Graichen + | +2024-07-12 | +ArXiv | +0 | +2 | +
visibility_off | ++ Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines + + | ++ Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, D. Kottonau, Klemens Böhm + | +2024-05-31 | +Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems | +0 | +8 | +
visibility_off | ++ STEP: extraction of underlying physics with robust machine learning + + | ++ Karim K. Alaa El-Din, Alessandro Forte, Muhammad Firmansyah Kasim, Francesco Miniati, Sam M. Vinko + | +2024-06-01 | +Royal Society Open Science | +0 | +1 | +
visibility_off | ++ Application of next-generation reservoir computing for predicting chaotic systems from partial observations. + + | ++ Irmantas Ratas, Kestutis Pyragas + | +2024-06-01 | +Physical review. E | +0 | +30 | +
visibility_off | ++ Simultaneous System Identification and Model Predictive Control with No Dynamic Regret + + | ++ Hongyu Zhou, Vasileios Tzoumas + | +2024-07-04 | +ArXiv | +0 | +19 | +
visibility_off | ++ Structure-preserving formulations for data-driven analysis of coupled multi-physics systems + + | ++ Alba Muixí, David González, Francisco Chinesta, Elías Cueto + | +2024-06-07 | +Computational Mechanics | +0 | +13 | +
visibility_off | ++ A Novel Koopman Representation for Efficient Linear Model Predictive Control of Nonlinear Systems + + | ++ Omar Sayed, Sergio Lucia + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +1 | +
visibility_off | ++ Analog Data-Driven Theory and Estimation of the Region of Attraction Using Sampled-Data + + | ++ Karthik Shenoy, Arvind Ragghav, V. Chellaboina + | +2024-07-11 | +ArXiv | +0 | +30 | +
visibility_off | ++ Approximating the System Behavior with Input Uncertainty Using Big Data + + | ++ Yitao Yan, Jie Bao, Biao Huang + | +2024-06-18 | +2024 IEEE 18th International Conference on Control & Automation (ICCA) | +0 | +6 | +
visibility_off | ++ From Pixels to Torques with Linear Feedback + + | ++ Jeonghoon Lee, Sam Schoedel, Aditya Bhardwaj, Zachary Manchester + | +2024-06-26 | +ArXiv | +0 | +2 | +
visibility_off | ++ CoNO: Complex Neural Operator for Continous Dynamical Physical Systems + + | ++ Karn Tiwari, N. M. A. Krishnan, P. PrathoshA + | +2024-06-01 | +ArXiv | +0 | +0 | +
visibility_off | ++ Generalized Inverse Optimal Control and its Application in Biology + + | ++ J. Banga, Sebastian Sager + | +2024-05-31 | +ArXiv | +0 | +54 | +
visibility_off | ++ A novel discretized physics-informed neural network model applied to the Navier–Stokes equations + + | ++ Amirhossein Khademi, Steven Dufour + | +2024-06-07 | +Physica Scripta | +0 | +1 | +
visibility_off | ++ Exponential time differencing for matrix-valued dynamical systems + + | ++ Nayef Shkeir, Tobias Schäfer, T. Grafke + | +2024-06-19 | +ArXiv | +0 | +14 | +
visibility_off | ++ Measuring dynamical phase transitions in time series + + | ++ Bulcs'u S'andor, Andr'as Rusu, K'aroly D'enes, M'aria Ercsey-Ravasz, Zs.I. L'az'ar + | +2024-07-18 | +ArXiv | +0 | +2 | +
visibility_off | ++ Coupled Stochastic-Statistical Equations for Filtering Multiscale Turbulent Systems + + | ++ Di Qi, Jian-Guo Liu + | +2024-07-05 | +ArXiv | +0 | +0 | +
visibility_off | ++ Data-driven model predictive control of battery storage units + + | ++ Johannes B. Lipka, Christian A. Hans + | +2024-07-06 | +ArXiv | +0 | +0 | +
visibility_off | ++ Assessment of Uncertainty Quantification in Universal Differential Equations + + | ++ Nina Schmid, David Fernandes del Pozo, Willem Waegeman, Jan Hasenauer + | +2024-06-13 | +ArXiv | +0 | +0 | +
visibility_off | ++ Exploring localization in nonlinear oscillator systems through network-based predictions + + | ++ Charlotte Geier, Norbert Hoffmann . Hamburg University of Technology, I. -. London + | +2024-07-07 | +ArXiv | +0 | +30 | +
visibility_off | ++ A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling + + | ++ Shuai Jiang, Jonas A. Actor, Scott A. Roberts, Nathaniel Trask + | +2024-06-08 | +ArXiv | +0 | +4 | +
visibility_off | ++ Recursive Least Squares-Based Identification for Multi-Step Koopman Operators + + | ++ Omar Sayed, Sergio Lucia + | +2024-06-25 | +2024 European Control Conference (ECC) | +1 | +1 | +
visibility_off | ++ How Inductive Bias in Machine Learning Aligns with Optimality in Economic Dynamics + + | ++ Mahdi Ebrahimi Kahou, James Yu, Jesse Perla, Geoff Pleiss + | +2024-06-04 | +ArXiv | +0 | +2 | +
visibility_off | ++ Machine learning for hydrodynamic stability + + | ++ David J. Silvester + | +2024-07-11 | +ArXiv | +0 | +0 | +
visibility_off | ++ Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator + + | ++ Shiqi Zhang, D. Gadginmath, Fabio Pasqualetti + | +2024-06-04 | +ArXiv | +0 | +3 | +
visibility_off | ++ Gradient matching accelerates mixed-effects inference for biochemical networks + + | ++ Yulan B van Oppen, Andreas Milias-Argeitis + | +2024-06-12 | +bioRxiv | +0 | +15 | +
visibility_off | ++ Optimal Reconstruction of Vector Fields from Data for Prediction and Uncertainty Quantification + + | ++ Sean P. McGowan, William S. P. Robertson, Chantelle Blachut, Sanjeeva Balasuriya + | +2024-06-13 | +J. Nonlinear Sci. | +0 | +18 | +
visibility_off | ++ Comparative Evaluation of Learning Models for Bionic Robots: Non-Linear Transfer Function Identifications + + | ++ Po-Yu Hsieh, June-Hao Hou + | +2024-07-02 | +ArXiv | +0 | +0 | +
visibility_off | ++ Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction + + | ++ Christoph Jurgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz + | +2024-06-07 | +ArXiv | +0 | +3 | +
visibility_off | ++ Bayesian Entropy Neural Networks for Physics-Aware Prediction + + | ++ R. Rathnakumar, Jiayu Huang, Hao Yan, Yongming Liu + | +2024-07-01 | +ArXiv | +0 | +3 | +
visibility_off | ++ Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods + + | ++ Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou + | +2024-06-03 | +Journal of Applied Mathematics and Computing | +0 | +9 | +
visibility_off | ++ Transport Map Coupling Filter for State-Parameter Estimation + + | ++ J. Grashorn, M. Broggi, Ludovic Chamoin, Michael Beer + | +2024-07-02 | +ArXiv | +0 | +21 | +
visibility_off | ++ A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems + + | ++ Victor Matray, Faisal Amlani, Fr'ed'eric Feyel, David N'eron + | +2024-06-03 | +ArXiv | +0 | +1 | +
visibility_off | ++ Scaling up Probabilistic PDE Simulators with Structured Volumetric Information + + | ++ Tim Weiland, Marvin Pförtner, Philipp Hennig + | +2024-06-07 | +ArXiv | +0 | +1 | +
visibility_off | ++ Reconstructing dynamical systems as zero-noise limits + + | ++ Suddhasattwa Das + | +2024-07-23 | +ArXiv | +0 | +0 | +
visibility_off | ++ Increasing certainty in systems biology models using Bayesian multimodel inference + + | ++ Nathaniel Linden-Santangeli, Jin Zhang, Boris Kramer, P. Rangamani + | +2024-06-17 | +bioRxiv | +0 | +4 | +
visibility_off | ++ On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed + + | ++ H. Pahlavan, P. Hassanzadeh, M. J. Alexander + | +2024-07-07 | +ArXiv | +0 | +24 | +
visibility_off | ++ Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling + + | ++ Kai Hu, Qian Wang, Tian Shi, Kohei Nakajima, Yongping Pan + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +2 | +
visibility_off | ++ Identifying latent state transition in non-linear dynamical systems + + | ++ cCauglar Hizli, cCaugatay Yildiz, Matthias Bethge, ST John, Pekka Marttinen + | +2024-06-05 | +ArXiv | +0 | +2 | +
visibility_off | ++ Data‐driven nonlinear state observation for controlled systems: A kernel method and its analysis + + | ++ Moritz Woelk, Wentao Tang + | +2024-07-08 | +The Canadian Journal of Chemical Engineering | +0 | +1 | +
visibility_off | ++ Time-Domain Iterative Rational Krylov Method + + | ++ Michael S. Ackermann, S. Gugercin + | +2024-07-17 | +ArXiv | +0 | +38 | +
visibility_off | ++ Koopman Resolvents of Nonlinear Discrete-Time Systems: Formulation and Identification + + | ++ Yoshihiko Susuki, A. Mauroy, Z. Drmač + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +20 | +
visibility_off | ++ Realizability-Informed Machine Learning for Turbulence Anisotropy Mappings + + | ++ R. McConkey, Eugene Yee, F. Lien + | +2024-06-17 | +ArXiv | +0 | +36 | +
visibility_off | ++ On the Cyclostationary Linear Inverse Models: A Mathematical Insight and Implication + + | ++ Justin Lien, Yan-Ning Kuo, Hiroyasu Ando + | +2024-07-15 | +ArXiv | +0 | +0 | +
visibility_off | ++ A Regularized Physics-Informed Neural Network to Support Data-Driven Nonlinear Constrained Optimization + + | ++ Diego Armando Perez-Rosero, A. Álvarez-Meza, C. Castellanos-Dominguez + | +2024-07-18 | +Computers | +0 | +15 | +
visibility_off | ++ Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift + + | ++ Navid Hashemi, Lars Lindemann, Jyotirmoy V. Deshmukh + | +2024-07-16 | +ArXiv | +0 | +26 | +
visibility_off | ++ Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes + + | ++ Valentina Becchetti, Mohab M. H. Atanasious, Danilo Menegatti, Federico Baldisseri, Alessandro Giuseppi + | +2024-06-11 | +2024 32nd Mediterranean Conference on Control and Automation (MED) | +0 | +15 | +
visibility_off | ++ A meshless method to compute the proper orthogonal decomposition and its variants from scattered data + + | ++ Iacopo Tirelli, M. A. Mendez, A. Ianiro, S. Discetti + | +2024-07-03 | +ArXiv | +0 | +24 | +
visibility_off | ++ Dynamical Measure Transport and Neural PDE Solvers for Sampling + + | ++ Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Muller, K. Azizzadenesheli, A. Anandkumar + | +2024-07-10 | +ArXiv | +0 | +31 | +
visibility_off | ++ Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. + + | ++ Idris Bachali Losada, N. Terranova + | +2024-07-11 | +CPT: pharmacometrics & systems pharmacology | +0 | +12 | +
visibility_off | ++ A new hybrid reduced order modeling for parametrized Navier–Stokes equations in stream-vorticity formulation + + | ++ Tao Zhang, Hui Xu, Lei Guo, Xinlong Feng + | +2024-06-01 | +Physics of Fluids | +0 | +2 | +
visibility_off | ++ Data-driven Bayesian State Estimation with Compressed Measurement of Model-free Process using Semi-supervised Learning + + | ++ Anubhab Ghosh, Y. Eldar, Saikat Chatterjee + | +2024-07-10 | +ArXiv | +0 | +26 | +
visibility_off | ++ Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks + + | ++ Spyros Rigas, M. Papachristou, Theofilos Papadopoulos, Fotios Anagnostopoulos, Georgios Alexandridis + | +2024-07-24 | +ArXiv | +0 | +1 | +
visibility_off | ++ From Data to Predictive Control: A Framework for Stochastic Linear Systems with Output Measurements + + | ++ Haldun Balim, Andrea Carron, M. Zeilinger, Johannes Kohler + | +2024-07-24 | +ArXiv | +0 | +35 | +
visibility_off | ++ System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization + + | ++ Jixiang Qing, Becky D Langdon, Robert M. Lee, B. Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener + | +2024-06-04 | +ArXiv | +0 | +22 | +
visibility_off | ++ Data-Driven Model Reduction by Moment Matching for Linear Systems Driven by an Unknown Implicit Signal Generator + + | ++ Debraj Bhattacharjee, Alessandro Astolfi + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +1 | +
visibility_off | ++ Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving PDEs based on Kolmogorov Arnold Networks + + | ++ Yizheng Wang, Jia Sun, Jinshuai Bai, C. Anitescu, M. Eshaghi, X. Zhuang, T. Rabczuk, Yinghua Liu + | +2024-06-16 | +ArXiv | +7 | +69 | +
visibility_off | ++ Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs + + | ++ Rishad Islam, Arielle Carr, Colin Jacobs + | +2024-06-25 | +ArXiv | +0 | +0 | +
visibility_off | ++ Computing Nonequilibrium Responses with Score-shifted Stochastic Differential Equations + + | ++ J'er'emie Klinger, Grant M. Rotskoff + | +2024-06-20 | +ArXiv | +0 | +24 | +
visibility_off | ++ Predictability of weakly turbulent systems from spatially sparse observations using data assimilation and machine learning + + | ++ Vikrant Gupta, Yuanqing Chen, Minping Wan + | +2024-07-14 | +ArXiv | +0 | +1 | +
visibility_off | ++ Physics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology + + | ++ Sukirt Thakur, H. Mitra, A. Ardekani + | +2024-06-06 | +ArXiv | +0 | +8 | +
visibility_off | ++ From high-dimensional committors to reactive insights + + | ++ Nils E. Strand, Schuyler B. Nicholson, Hadrien Vroylandt, Todd R. Gingrich + | +2024-06-03 | +ArXiv | +0 | +17 | +
visibility_off | ++ From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach + + | ++ Timothée Devergne, Vladimir Kostic, Michele Parrinello, Massimiliano Pontil + | +2024-06-13 | +ArXiv | +0 | +1 | +
visibility_off | ++ Refining Potential Energy Surface through Dynamical Properties via Differentiable Molecular Simulation + + | ++ Bin Han, Kuang Yu + | +2024-06-26 | +ArXiv | +0 | +0 | +
visibility_off | ++ Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence + + | ++ Christopher Koh, Laurent Pagnier, Michael Chertkov + | +2024-06-05 | +ArXiv | +0 | +7 | +
visibility_off | ++ Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach + + | ++ Guitao Yang, Matteo Scandella, Simone Formentin, Thomas Parisini + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +5 | +
visibility_off | ++ Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments + + | ++ Liu Jiaqi, Jiaxu Cui, Jiayi Yang, Bo Yang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +0 | +
visibility_off | ++ Disturbance Observer for Estimating Coupled Disturbances + + | ++ Jindou Jia, Yuhang Liu, Kexin Guo, Xiang Yu, Lihua Xie, Lei Guo + | +2024-07-18 | +ArXiv | +0 | +16 | +
visibility_off | ++ Data-Driven State Estimation for Linear Systems + + | ++ Vikas Kumar Mishra, S. Hiremath, N. Bajçinca + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +15 | +
visibility_off | ++ Identifying the onset and decay of quasi-stationary families of almost-invariant sets with an application to atmospheric blocking events + + | ++ Aleksandar Badza, Gary Froyland School of Mathematics, Statistics Unsw Sydney Nsw Australia + | +2024-07-09 | +ArXiv | +0 | +0 | +
visibility_off | ++ Learning Optimal Filters Using Variational Inference + + | ++ Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew Stuart + | +2024-06-26 | +ArXiv | +0 | +9 | +
visibility_off | ++ Learnable & Interpretable Model Combination in Dynamic Systems Modeling + + | ++ Tobias Thummerer, Lars Mikelsons + | +2024-06-12 | +ArXiv | +0 | +11 | +
visibility_off | ++ Data-driven approximations of topological insulator systems + + | ++ Justin T. Cole, Michael J. Nameika + | +2024-07-01 | +ArXiv | +0 | +0 | +
visibility_off | ++ DeltaPhi: Learning Physical Trajectory Residual for PDE Solving + + | ++ Xihang Yue, Linchao Zhu, Yi Yang + | +2024-06-14 | +ArXiv | +0 | +41 | +
visibility_off | ++ Gaussian process kernels for partial physical insight + + | ++ Matthew R. Jones, D. J. Pitchforth, E. J. Cross + | +2024-07-01 | +e-Journal of Nondestructive Testing | +0 | +3 | +
visibility_off | ++ All‐nonlinear static‐dynamic neural networks versus Bayesian machine learning for data‐driven modelling of chemical processes + + | ++ Angan Mukherjee, Samuel Adeyemo, D. Bhattacharyya + | +2024-06-24 | +The Canadian Journal of Chemical Engineering | +0 | +29 | +
visibility_off | ++ Online learning of Koopman operator using streaming data from different dynamical regimes + + | ++ Kartik Loya, Phanindra Tallapragada + | +2024-07-18 | +ArXiv | +0 | +16 | +
visibility_off | ++ Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics + + | ++ Spyridon Syntakas, K. Vlachos + | +2024-06-04 | +ArXiv | +0 | +8 | +
visibility_off | ++ Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models + + | ++ Ella Tamir, Arno Solin + | +2024-06-01 | +ArXiv | +0 | +2 | +
visibility_off | ++ Online Time-Informed Kinodynamic Motion Planning of Nonlinear Systems + + | ++ Fei Meng, Jianbang Liu, Hao-bin Shi, Han Ma, Hongliang Ren, Max Q.-H. Meng + | +2024-07-03 | +ArXiv | +0 | +13 | +
visibility_off | ++ Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs + + | ++ Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel + | +2024-07-04 | +ArXiv | +0 | +18 | +
visibility_off | ++ Gaussian approximation of dynamic cavity equations for linearly-coupled stochastic dynamics + + | ++ Mattia Tarabolo, Luca Dall'Asta + | +2024-06-20 | +ArXiv | +0 | +1 | +
visibility_off | ++ Extended dynamic mode decomposition for model reduction in fluid dynamics simulations + + | ++ G. Libero, Alessia Chiofalo, V. Ciriello, D. Tartakovsky + | +2024-06-01 | +Physics of Fluids | +0 | +47 | +
visibility_off | ++ Inference for Delay Differential Equations Using Manifold-Constrained Gaussian Processes + + | ++ Yuxuan Zhao, Samuel W. K. Wong + | +2024-06-21 | +ArXiv | +0 | +1 | +
visibility_off | ++ Mapping dynamical systems into chemical reactions + + | ++ Tomislav Plesa + | +2024-06-05 | +ArXiv | +0 | +7 | +
visibility_off | ++ PECCARY: A novel approach for characterizing orbital complexity, stochasticity, and regularity + + | ++ S'oley 'O. Hyman, Kathryne J. Daniel, David A. Schaffner + | +2024-07-16 | +ArXiv | +0 | +0 | +
visibility_off | ++ Machine learning in biological physics: From biomolecular prediction to design + + | ++ Jonathan Martin, Marcos Lequerica Mateos, J. Onuchic, Ivan Coluzza, F. Morcos + | +2024-06-24 | +Proceedings of the National Academy of Sciences of the United States of America | +1 | +95 | +
visibility_off | ++ Score-fPINN: Fractional Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck-Levy Equations + + | ++ Zheyuan Hu, Zhongqiang Zhang, G. Karniadakis, Kenji Kawaguchi + | +2024-06-17 | +ArXiv | +0 | +127 | +
visibility_off | ++ mochi_class: Modelling Optimisation to Compute Horndeski In class + + | ++ Matteo Cataneo, Emilio Bellini + | +2024-07-16 | +ArXiv | +0 | +0 | +
visibility_off | ++ Linearization Turns Neural Operators into Function-Valued Gaussian Processes + + | ++ Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig + | +2024-06-07 | +ArXiv | +0 | +3 | +
visibility_off | ++ A Low Rank Neural Representation of Entropy Solutions + + | ++ Donsub Rim, Gerrit Welper + | +2024-06-09 | +ArXiv | +0 | +9 | +
visibility_off | ++ Data-driven Power Flow Linearization: Theory + + | ++ Mengshuo Jia, Gabriela Hug, Ning Zhang, Zhaojian Wang, Yi Wang, Chongqing Kang + | +2024-06-10 | +ArXiv | +0 | +31 | +
visibility_off | ++ Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations + + | ++ Ye Li, Siqi Chen, Bin Shan, + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +1 | +
visibility_off | ++ Comparing Neural Network and Linear Models in Economic MPC: Insights from BOPTEST for Building Temperature Control + + | ++ François Gauthier-Clerc, Hoel Le Capitaine, F. Claveau, P. Chevrel + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +20 | +
visibility_off | ++ Dynamical analysis of a parameter-aware reservoir computer + + | ++ Dishant Sisodia, S. Jalan + | +2024-07-20 | +ArXiv | +0 | +26 | +
visibility_off | ++ From Data to Control: A Two-Stage Simulation-Based Approach + + | ++ Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, Cristian R. Rojas + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +3 | +
visibility_off | ++ On Computation of Approximate Solutions to Large-Scale Backstepping Kernel Equations via Continuum Approximation + + | ++ Jukka-Pekka Humaloja, N. Bekiaris-Liberis + | +2024-06-19 | +ArXiv | +0 | +31 | +
visibility_off | ++ Turbulence Closure Modeling with Machine Learning: A Foundational Physics Perspective + + | ++ S. Girimaji + | +2024-07-23 | +New Journal of Physics | +0 | +42 | +
visibility_off | ++ Nonlinear Model Predictive Control with Evolutionary Data-Driven Prediction Model and Particle Swarm Optimization Optimizer for an Overhead Crane + + | ++ Tom Kusznir, Jarosław Smoczek + | +2024-06-12 | +Applied Sciences | +0 | +3 | +
visibility_off | ++ Dynamical mixture modeling with fast, automatic determination of Markov chains + + | ++ Christopher E Miles, Robert J. Webber + | +2024-06-07 | +ArXiv | +0 | +8 | +
visibility_off | ++ Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience + + | ++ Uros Sutulovic, Daniele Proverbio, Rami Katz, Giulia Giordano + | +2024-06-19 | +ArXiv | +0 | +0 | +
visibility_off | ++ Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process + + | ++ Weihan Li, Yule Wang, Chengrui Li, Anqi Wu + | +2024-06-29 | +ArXiv | +0 | +1 | +
visibility_off | ++ On Entropic Learning from Noisy Time Series in the Small Data Regime + + | ++ Davide Bassetti, Lukáš Pospíšil, I. Horenko + | +2024-06-28 | +Entropy | +0 | +26 | +
visibility_off | ++ Reducing phenotype-structured PDE models of cancer evolution to systems of ODEs: a generalised moment dynamics approach + + | ++ Chiara Villa, P. K. Maini, Alexander P Browning, A. Jenner, Sara Hamis, Tyler Cassidy + | +2024-06-03 | +ArXiv | +0 | +26 | +
visibility_off | ++ Learning dynamical behaviors in physical systems + + | ++ R. Mandal, Rosalind Huang, Michel Fruchart, P. Moerman, Suriyanarayanan Vaikuntanathan, Arvind Murugan, Vincenzo Vitelli + | +2024-06-12 | +ArXiv | +0 | +25 | +
visibility_off | ++ Learning Iterative Solvers for Accurate and Fast Nonlinear Model Predictive Control via Unsupervised Training + + | ++ Lukas Lüken, Sergio Lucia + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +2 | +
visibility_off | ++ Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems + + | ++ I. Bashkirtseva + | +2024-07-13 | +Mathematics | +0 | +26 | +
visibility_off | ++ Perspectives on computational modeling of biological systems and the significance of the SysMod community + + | ++ B. L. Puniya, Meghna Verma, Chiara Damiani, Shaimaa Bakr, Andreas Dräger + | +2024-06-26 | +Bioinformatics Advances | +0 | +11 | +
visibility_off | ++ Nonlinear Optimal Control Based on FBDEs and its Application to AGV. + + | ++ Chuanzhi Lv, Hongdan Li, Huanshui Zhang, Minyue Fu + | +2024-07-19 | +IEEE transactions on cybernetics | +0 | +5 | +
visibility_off | ++ Application of physics encoded neural networks to improve predictability of properties of complex multi-scale systems + + | ++ M. Meinders, Jack Yang, Erik van der Linden + | +2024-07-01 | +Scientific Reports | +0 | +29 | +
visibility_off | ++ A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems. + + | ++ Yejiang Yang, Tao Wang, Weiming Xiang + | +2024-06-28 | +IEEE transactions on neural networks and learning systems | +0 | +2 | +
visibility_off | ++ Snapshot-driven Rational Interpolation of Parametric Systems + + | ++ Art J. R. Pelling, Karim Cherifi, I. V. Gosea, E. Sarradj + | +2024-06-03 | +ArXiv | +0 | +25 | +
visibility_off | ++ Handling of Time Delays in MISO Processes with Regularized Finite Impulse Response Models + + | ++ Christopher Illg, Tarek Kösters, Oliver Nelles + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +2 | +
visibility_off | ++ Waddington landscape for prototype learning in generalized Hopfield networks + + | ++ Nacer Eddine Boukacem, Allen Leary, Robin Thériault, Felix Gottlieb, Madhav Mani, Paul François + | +2024-07-23 | +Physical Review Research | +0 | +1 | +
visibility_off | ++ VS-PINN: A Fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior + + | ++ Seungchan Ko, Sang Hyeon Park + | +2024-06-10 | +ArXiv | +0 | +0 | +
visibility_off | ++ Continuous time Stochastic optimal control under discrete time partial observations + + | ++ Christian Bayer, Boualem Djehiche, Eliza Rezvanova, Raúl Tempone + | +2024-07-25 | +ArXiv | +0 | +24 | +
visibility_off | ++ Tube MPC via flatness for multicopter trajectory tracking + + | ++ H. Do, I. Prodan + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +17 | +
visibility_off | ++ Time-series-analysis-based detection of critical transitions in real-world non-autonomous systems. + + | ++ Klaus Lehnertz + | +2024-06-07 | +Chaos | +0 | +0 | +
visibility_off | ++ Nonlinear time-series embedding by monotone variational inequality + + | ++ Jonathan Y. Zhou, Yao Xie + | +2024-06-11 | +ArXiv | +0 | +0 | +
visibility_off | ++ Oscillations enhance time-series prediction in reservoir computing with feedback + + | ++ Yuji Kawai, Takashi Morita, Jihoon Park, Minoru Asada + | +2024-06-05 | +ArXiv | +0 | +7 | +
visibility_off | ++ HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition + + | ++ Miao Qi, R. Idoughi, Wolfgang Heidrich + | +2024-06-12 | +ArXiv | +0 | +12 | +
visibility_off | ++ Recurrent Stochastic Configuration Networks for Temporal Data Analytics + + | ++ Dianhui Wang, Gang Dang + | +2024-06-21 | +ArXiv | +1 | +1 | +
visibility_off | ++ A physics-constrained and data-driven method for modeling supersonic flow + + | ++ Tong Zhao, Jian An, Yuming Xu, Guoqiang He, Fei Qin + | +2024-06-01 | +Physics of Fluids | +0 | +0 | +
visibility_off | ++ Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications + + | ++ Roy Y. He, Haixia Liu, Hao L'iu + | +2024-06-01 | +ArXiv | +0 | +0 | +
visibility_off | ++ A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling. + + | ++ Xiao-Kai An, Lin Du, Feng Jiang, Yu-jia Zhang, Zi-Chen Deng, Jürgen Kurths + | +2024-07-01 | +Chaos | +0 | +6 | +
visibility_off | ++ On the estimation rate of Bayesian PINN for inverse problems + + | ++ Yi Sun, Debarghya Mukherjee, Yves Atchadé + | +2024-06-21 | +ArXiv | +0 | +7 | +
visibility_off | ++ Approximate solutions of a general stochastic velocity-jump process subject to discrete-time noisy observations + + | ++ Arianna Ceccarelli, Alexander P. Browning, Ruth E. Baker + | +2024-06-28 | +ArXiv | +0 | +0 | +
visibility_off | ++ Data-Driven Prognostics with Multi-Layer Perceptron Particle Filter: a Cross-Industry Exploration + + | ++ Francesco Canceliere, Sylvain Girard, Jean-Marc Bourinet + | +2024-06-27 | +PHM Society European Conference | +0 | +15 | +
visibility_off | ++ An Understanding of Principal Differential Analysis + + | ++ Edward Gunning, Giles Hooker + | +2024-06-26 | +ArXiv | +0 | +3 | +
visibility_off | ++ Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics + + | ++ Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Ouyang Cheng, Bernhard Kainz + | +2024-06-19 | +ArXiv | +0 | +1 | +
visibility_off | ++ Constructing coarse-grained models with physics-guided Gaussian process regression + + | ++ Yating Fang, Qian Qian Zhao, R. Sills, A. Ezzat + | +2024-06-01 | +APL Machine Learning | +0 | +19 | +
visibility_off | ++ Improving Transfer Time Prediction of ML Models via Auto-correcting Dynamical Systems Modeling + + | ++ Venkat Sai Suman Lamba Karanam, B. Ramamurthy + | +2024-06-24 | +2024 IEEE 10th International Conference on Network Softwarization (NetSoft) | +0 | +38 | +
visibility_off | ++ Learning the Hodgkin-Huxley Model with Operator Learning Techniques + + | ++ Edoardo Centofanti, Massimiliano Ghiotto, L. Pavarino + | +2024-06-04 | +ArXiv | +0 | +20 | +
visibility_off | ++ Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling + + | ++ J. Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan + | +2024-07-21 | +ArXiv | +0 | +10 | +
visibility_off | ++ Nonlinear Eigen-approach ADMM for Sparse Optimization on Stiefel Manifold + + | ++ Jiawei Wang, Rencang Li, Richard Yi Da Xu + | +2024-06-04 | +ArXiv | +0 | +0 | +
visibility_off | ++ Dynamical Mean-Field Theory of Self-Attention Neural Networks + + | ++ Ángel Poc-López, Miguel Aguilera + | +2024-06-11 | +ArXiv | +0 | +1 | +
visibility_off | ++ PhyGICS – A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces + + | ++ S. Nagarathinam, Arunchandar Vasan + | +2024-05-31 | +Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems | +0 | +15 | +
visibility_off | ++ A Bayesian optimization approach for data‐driven mixed‐integer nonlinear programming problems + + | ++ Javier Morlet-Espinosa, A. Flores‐Tlacuahuac + | +2024-06-04 | +AIChE Journal | +0 | +29 | +
visibility_off | ++ Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows + + | ++ Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart + | +2024-06-25 | +ArXiv | +0 | +9 | +
visibility_off | ++ Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design + + | ++ Shahroz Khan, Zahid Masood, Muhammad Usama, Konstantinos V. Kostas, P. Kaklis, Wei Chen + | +2024-07-10 | +ArXiv | +0 | +21 | +
visibility_off | ++ An approach to non-equilibrium statistical physics using variational Bayesian inference + + | ++ M. Ramstead, D. A. R. Sakthivadivel, K. Friston + | +2024-06-17 | +ArXiv | +0 | +23 | +
visibility_off | ++ Accelerating wavepacket propagation with machine learning. + + | ++ Kanishka Singh, Ka Hei Lee, Daniel Peláez, A. Bande + | +2024-06-21 | +Journal of computational chemistry | +0 | +12 | +
visibility_off | ++ Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models + + | ++ Camila Pazos, Shuchin Aeron, P. Beauchemin, Vincent Croft, Martin Klassen, Taritree Wongjirad + | +2024-06-03 | +ArXiv | +0 | +41 | +
visibility_off | ++ The Internal Model Principle of Time-Varying Optimization + + | ++ G. Bianchin, Bryan Van Scoy + | +2024-07-10 | +ArXiv | +0 | +11 | +
visibility_off | ++ Inverse stochastic resonance in adaptive small-world neural networks + + | ++ Marius E. Yamakou, Jinjie Zhu, Erik A. Martens + | +2024-07-03 | +ArXiv | +1 | +9 | +
visibility_off | ++ Dynamical Analysis and Synchronization of Complex Network Dynamic Systems under Continuous-Time + + | ++ Rui Yang, Huaigu Tian, Zhen Wang, Wei Wang, Yang Zhang + | +2024-06-04 | +Symmetry | +0 | +6 | +
visibility_off | ++ Learning metabolic dynamics from irregular observations by Bidirectional Time-Series State Transfer Network. + + | ++ Shaohua Xu, Ting Xu, Yuping Yang, Xin Chen + | +2024-07-26 | +mSystems | +0 | +0 | +
visibility_off | ++ Recurrent neural chemical reaction networks that approximate arbitrary dynamics + + | ++ Alexander Dack, Benjamin Qureshi, T. Ouldridge, Tomislav Plesa + | +2024-06-05 | +ArXiv | +0 | +32 | +
visibility_off | ++ Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics + + | ++ A.O.M. Kilicsoy, J. Liedmann, M. Valdebenito, F. Barthold, M. Faes + | +2024-07-23 | +ArXiv | +0 | +23 | +
visibility_off | ++ Complex harmonics reveal low-dimensional manifolds of critical brain dynamics + + | ++ G. Deco, Y. Perl, M. Kringelbach + | +2024-06-16 | +bioRxiv | +0 | +13 | +
visibility_off | ++ Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging + + | ++ N. Zakariaei, Arman Rahmim, Eldad Haber + | +2024-05-31 | +ArXiv | +0 | +3 | +
visibility_off | ++ A variational deep-learning approach to modeling memory T cell dynamics + + | ++ C. V. van Dorp, Joshua I. Gray, Daniel H. Paik, Donna L. Farber, Andrew J. Yates + | +2024-07-11 | +bioRxiv | +0 | +10 | +
visibility_off | ++ Astral: training physics-informed neural networks with error majorants + + | ++ V. Fanaskov, Tianchi Yu, Alexander Rudikov, I. Oseledets + | +2024-06-04 | +ArXiv | +0 | +3 | +
visibility_off | ++ Cross Validation in Stochastic Analytic Continuation + + | ++ Gabe Schumm, Sibin Yang, Anders Sandvik + | +2024-06-10 | +ArXiv | +0 | +0 | +
visibility_off | ++ Machine Learning Methods for Pricing Financial Derivatives + + | ++ Lei Fan, Justin A. Sirignano + | +2024-06-01 | +ArXiv | +0 | +16 | +
visibility_off | ++ The dynamics of machine-learned"softness"in supercooled liquids describe dynamical heterogeneity + + | ++ S. Ridout, Andrea J. Liu + | +2024-06-09 | +ArXiv | +0 | +8 | +
visibility_off | ++ Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics + + | ++ Tomoharu Iwata, Yusuke Tanaka + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +7 | +
visibility_off | ++ Data-driven Power Flow Linearization: Simulation + + | ++ Mengshuo Jia, Gabriela Hug, Ning Zhang, Zhaojian Wang, Yi Wang, Chongqing Kang + | +2024-06-10 | +ArXiv | +0 | +31 | +
visibility_off | ++ Scenario Approach and Conformal Prediction for Verification of Unknown Systems via Data-Driven Abstractions + + | ++ Rudi Coppola, Andrea Peruffo, Lars Lindemann, Manuel Mazo + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +9 | +
visibility_off | ++ A Generative Approach to Control Complex Physical Systems + + | ++ Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu + | +2024-07-09 | +ArXiv | +0 | +3 | +
visibility_off | ++ Operator learning based on sparse high-dimensional approximation + + | ++ Daniel Potts, Fabian Taubert + | +2024-06-06 | +ArXiv | +0 | +1 | +
visibility_off | ++ Data-driven exploration of swarmalators with second-order harmonics. + + | ++ R. Senthamizhan, R. Gopal, V. K. Chandrasekar + | +2024-06-01 | +Physical review. E | +0 | +23 | +
visibility_off | ++ Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation + + | ++ Wangkun Xu, Qian Chen, Pudong Ge, Zhongda Chu, Fei Teng + | +2024-07-21 | +ArXiv | +0 | +7 | +
visibility_off | ++ Data-driven learning of structure augments quantitative prediction of biological responses + + | ++ Yuanchi Ha, Helena R. Ma, Feilun Wu, Andrea Weiss, Katherine Duncker, Helen Xu, Jia Lu, Max Golovsky, Daniel Reker, Lingchong You + | +2024-06-01 | +PLOS Computational Biology | +0 | +8 | +
visibility_off | ++ Structural Exploitation for the Homogeneous Reformulation of Model Predictive Control Problems + + | ++ Jonas Hall, A. Raghunathan + | +2024-06-25 | +2024 European Control Conference (ECC) | +0 | +29 | +
visibility_off | ++ Quadratic Basis Pursuit in Model Updating of Underconstrained Problems + + | ++ Dionisio Bernal, M. D. Ulriksen + | +2024-06-01 | +Journal of Physics: Conference Series | +0 | +10 | +
visibility_off | ++ FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning + + | ++ Tristan Cinquin, Marvin Pfortner, Vincent Fortuin, Philipp Hennig, Robert Bamler + | +2024-07-18 | +ArXiv | +1 | +14 | +
visibility_off | ++ Synchronized Optimal Transport for Joint Modeling of Dynamics Across Multiple Spaces + + | ++ Zixuan Cang, Yanxiang Zhao + | +2024-06-05 | +ArXiv | +0 | +17 | +
visibility_off | ++ Extracting the symmetries of nonequilibrium quantum many-body systems + + | ++ A. Mikheev, Viktoria Noel, Ido Siovitz, H. Strobel, M. Oberthaler, Jurgen Berges + | +2024-07-25 | +ArXiv | +0 | +48 | +
visibility_off | ++ Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning + + | ++ Michal Derezi'nski, Michael W. Mahoney + | +2024-06-17 | +ArXiv | +0 | +0 | +
visibility_off | ++ Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models + + | ++ Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao + | +2024-06-06 | +ArXiv | +0 | +6 | +
visibility_off | ++ Characterizing Complex Spatiotemporal Patterns from Entropy Measures + + | ++ Luan O. Barauna, Rubens Andreas Sautter, R. Rosa, E. Rempel, Alejandro C. Frery + | +2024-06-01 | +Entropy | +0 | +20 | +
visibility_off | ++ Pseudomode expansion of many-body correlation functions + + | ++ Alexander Teretenkov, F. Uskov, Oleg Lychkovskiy + | +2024-07-17 | +ArXiv | +0 | +3 | +
visibility_off | ++ Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances + + | ++ Ibon Gracia, Dimitris Boskos, Luca Laurenti, Morteza Lahijanian + | +2024-06-14 | +ArXiv | +0 | +17 | +
visibility_off | ++ Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and Trends + + | ++ Weihao Song, Zidong Wang, Zhongkui Li, Jianan Wang, Qing‐Long Han + | +2024-07-01 | +IEEE/CAA Journal of Automatica Sinica | +0 | +27 | +
visibility_off | ++ Multi-Model Predictive Attitude Control of Quadrotors + + | ++ Mohammadreza Izadi, Zeinab Shayan, R. Faieghi + | +2024-06-21 | +ArXiv | +0 | +3 | +
visibility_off | ++ Bayesian Occam’s Razor to Optimize Models for Complex Systems + + | ++ Chenxi Wang, Jihui Zhao, Jingjing Zheng, Barak Raveh, Xuming He, Liping Sun + | +2024-06-02 | +bioRxiv | +0 | +9 | +
visibility_off | ++ Exploring transient neurophysiological states through local and time-varying measures of Information Dynamics + + | ++ Y. Antonacci, C. Barà, G. De Felice, A. Sferlazza, R. Pernice, L. Faes + | +2024-06-24 | +bioRxiv | +0 | +20 | +
visibility_off | ++ Full Lyapunov Exponents spectrum with Deep Learning from single-variable time series + + | ++ C. Mayora-Cebollero, A. Mayora-Cebollero, 'Alvaro Lozano, Roberto Barrio + | +2024-06-23 | +ArXiv | +0 | +1 | +
visibility_off | ++ Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior + + | ++ Anming Gu, Edward Chien, K. Greenewald + | +2024-06-11 | +ArXiv | +0 | +20 | +
visibility_off | ++ Large sampling intervals for learning and predicting chaotic systems with reservoir computing + + | ++ Qingyan Xie, Zixiang Yan, Hui Zhao, Jian Gao, Jinghua Xiao + | +2024-06-28 | +Journal of Physics A: Mathematical and Theoretical | +0 | +1 | +
visibility_off | ++ An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations + + | ++ Shengbo Wang, Jose Blanchet, Peter Glynn + | +2024-07-14 | +ArXiv | +0 | +4 | +
visibility_off | ++ Most probable escape paths in perturbed gradient systems + + | ++ Katherine Slyman, Mackenzie Simper, John A Gemmer, Bjorn Sandstede + | +2024-07-25 | +ArXiv | +0 | +7 | +
Abstract | +Title | +Authors | +Publication Date | +Journal/Conference | +Citation count | +Highest h-index | +
+ This page was last updated on 2024-07-29 06:05:24 UTC +
+ ++ +
++
Abstract | +Title | +Authors | +Publication Date | +Journal/ Conference | +Citation count | +Highest h-index | ++ View recommendations + | +
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visibility_off | ++ A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection + + | ++ Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, G. I. Webb, Irwin King, Shirui Pan + | +2023-07-07 | +arXiv.org, ArXiv | +56 | +49 | + ++ open_in_new + | + +
visibility_off | ++ Graph-Guided Network for Irregularly Sampled Multivariate Time Series + + | ++ Xiang Zhang, M. Zeman, Theodoros Tsiligkaridis, M. Zitnik + | +2021-10-11 | +International Conference on Learning Representations, ArXiv | +66 | +46 | + ++ open_in_new + | + +
visibility_off | ++ Taming Local Effects in Graph-based Spatiotemporal Forecasting + + | ++ Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi + | +2023-02-08 | +Neural Information Processing Systems, ArXiv | +15 | +49 | + ++ open_in_new + | + +
visibility_off | ++ Sparse Graph Learning from Spatiotemporal Time Series + + | ++ Andrea Cini, Daniele Zambon, C. Alippi + | +2022-05-26 | +Journal of machine learning research, J. Mach. Learn. Res. | +10 | +49 | + ++ open_in_new + | + +
visibility_off | ++ Graph Deep Learning for Time Series Forecasting + + | ++ Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi + | +2023-10-24 | +arXiv.org, ArXiv | +4 | +49 | + ++ open_in_new + | + +
visibility_off | ++ Large Language Models Are Zero-Shot Time Series Forecasters + + | ++ Nate Gruver, Marc Finzi, Shikai Qiu, Andrew Gordon Wilson + | +2023-10-11 | +Neural Information Processing Systems, ArXiv | +114 | +14 | + ++ open_in_new + | + +
visibility_off | ++ Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces + + | ++ Chloe X. Wang, Oleksii Tsepa, Jun Ma, Bo Wang + | +2024-02-01 | +arXiv.org, ArXiv | +44 | +7 | + ++ open_in_new + | + +
visibility_off | ++ A decoder-only foundation model for time-series forecasting + + | ++ Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou + | +2023-10-14 | +arXiv.org, ArXiv | +43 | +14 | + ++ open_in_new + | + +
visibility_off | ++ Unified Training of Universal Time Series Forecasting Transformers + + | ++ Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo + | +2024-02-04 | +arXiv.org, ArXiv | +26 | +22 | + ++ open_in_new + | + +
visibility_off | ++ Time-LLM: Time Series Forecasting by Reprogramming Large Language Models + + | ++ Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen + | +2023-10-03 | +arXiv.org, ArXiv | +108 | +9 | + ++ open_in_new + | + +
visibility_off | ++ Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series + + | ++ Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam + | +2024-01-08 | +arXiv.org, ArXiv | +2 | +2 | + ++ open_in_new + | + +
visibility_off | ++ Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency + + | ++ Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, M. Zitnik + | +2022-06-17 | +Neural Information Processing Systems, ArXiv | +153 | +46 | + ++ open_in_new + | + +
visibility_off | ++ Domain Adaptation for Time Series Under Feature and Label Shifts + + | ++ Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, M. Zitnik + | +2023-02-06 | +DBLP, ArXiv | +22 | +46 | + ++ open_in_new + | + +
visibility_off | ++ AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs + + | ++ Daniele Zambon, C. Alippi + | +None | +DBLP | +6 | +49 | + ++ open_in_new + | + +
visibility_off | ++ Graph state-space models + + | ++ Daniele Zambon, Andrea Cini, L. Livi, C. Alippi + | +2023-01-04 | +arXiv.org, ArXiv | +3 | +49 | + ++ open_in_new + | + +
visibility_off | ++ UNITS: A Unified Multi-Task Time Series Model + + | ++ Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, M. Zitnik + | +2024-02-29 | +ArXiv | +2 | +46 | + ++ open_in_new + | + +
Abstract | +Title | +Authors | +Publication Date | +Journal/ Conference | +Citation count | +Highest h-index | +View recommendations | +
+
Abstract | +Title | +Authors | +Publication Date | +Journal/Conference | +Citation count | +Highest h-index | +
---|---|---|---|---|---|---|
visibility_off | ++ TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment + + | ++ Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao + | +2024-06-03 | +ArXiv | +2 | +4 | +
visibility_off | ++ WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting + + | ++ Quangao Liu, Ruiqi Li, Maowei Jiang, Wei Yang, Chen Liang, Longlong Pang, Zhuozhang Zou + | +2024-06-14 | +ArXiv | +0 | +1 | +
visibility_off | ++ Deep Time Series Models: A Comprehensive Survey and Benchmark + + | ++ Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang + | +2024-07-18 | +ArXiv | +0 | +65 | +
visibility_off | ++ Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting + + | ++ Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. A. Prakash + | +2024-07-02 | +ArXiv | +0 | +9 | +
visibility_off | ++ UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting + + | ++ Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo + | +2024-06-07 | +ArXiv | +0 | +22 | +
visibility_off | ++ SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces + + | ++ Jinhyeok Choi, Heehyeon Kim, Minhyeong An, Joyce Jiyoung Whang + | +2024-06-17 | +ArXiv | +0 | +1 | +
visibility_off | ++ Are Language Models Actually Useful for Time Series Forecasting? + + | ++ Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen + | +2024-06-22 | +ArXiv | +0 | +3 | +
visibility_off | ++ SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks + + | ++ S. Kristoffersen, Peter Skaar Nordby, Sara Malacarne, Massimiliano Ruocco, Pablo Ortiz + | +2024-07-02 | +ArXiv | +0 | +0 | +
visibility_off | ++ MSegRNN:Enhanced SegRNN Model with Mamba for Long-Term Time Series Forecasting + + | ++ Gaoxiang Zhao, Xiaoqiang Wang + | +2024-07-15 | +ArXiv | +0 | +0 | +
visibility_off | ++ Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting + + | ++ Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia + | +2024-06-04 | +ArXiv | +0 | +3 | +
visibility_off | ++ xLSTMTime : Long-term Time Series Forecasting With xLSTM + + | ++ Musleh Alharthi, Ausif Mahmood + | +2024-07-14 | +ArXiv | +0 | +0 | +
visibility_off | ++ A Scalable and Effective Alternative to Graph Transformers + + | ++ Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, M. F. Balin, Ümit V. Çatalyürek + | +2024-06-17 | +ArXiv | +0 | +6 | +
visibility_off | ++ Sparse transformer with local and seasonal adaptation for multivariate time series forecasting + + | ++ Yifan Zhang, Rui Wu, S. Dascalu, Frederick C. Harris + | +2023-12-11 | +Scientific Reports | +0 | +18 | +
visibility_off | ++ FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting + + | ++ Shusen Ma, Yu Kang, Peng Bai, Yunan Zhao + | +2024-07-20 | +ArXiv | +0 | +1 | +
visibility_off | ++ C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting + + | ++ Chaolv Zeng, Zhanyu Liu, Guanjie Zheng, Linghe Kong + | +2024-06-08 | +ArXiv | +1 | +5 | +
visibility_off | ++ Toto: Time Series Optimized Transformer for Observability + + | ++ Ben Cohen, E. Khwaja, Kan Wang, Charles Masson, Elise Ram'e, Youssef Doubli, Othmane Abou-Amal + | +2024-07-10 | +ArXiv | +0 | +4 | +
visibility_off | ++ Understanding Different Design Choices in Training Large Time Series Models + + | ++ Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-yuan Chang, Qiaoyu Tan, D. Zha, Xia Hu + | +2024-06-20 | +ArXiv | +1 | +22 | +
visibility_off | ++ DAM: Towards A Foundation Model for Time Series Forecasting + + | ++ Luke Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, A. Storkey + | +2024-07-25 | +ArXiv | +0 | +43 | +
visibility_off | ++ DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting + + | ++ Yuxuan Shu, Vasileios Lampos + | +2024-06-11 | +ArXiv | +0 | +24 | +
visibility_off | ++ What Can We Learn from State Space Models for Machine Learning on Graphs? + + | ++ Yinan Huang, Siqi Miao, Pan Li + | +2024-06-09 | +ArXiv | +0 | +2 | +
visibility_off | ++ Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing + + | ++ Egon Pervsak, Miguel F. Anjos, Sebastian Lautz, Aleksandar Kolev + | +2024-07-03 | +ArXiv | +0 | +0 | +
visibility_off | ++ Graph External Attention Enhanced Transformer + + | ++ Jianqing Liang, Min Chen, Jiye Liang + | +2024-05-31 | +ArXiv | +0 | +5 | +
visibility_off | ++ Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach + + | ++ Difan Deng, Marius Lindauer + | +2024-06-07 | +ArXiv | +0 | +6 | +
visibility_off | ++ Wavelet-based Temporal Attention Improves Traffic Forecasting + + | ++ Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty + | +2024-07-05 | +ArXiv | +0 | +0 | +
visibility_off | ++ TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification + + | ++ Md. Atik Ahamed, Qiang Cheng + | +2024-06-06 | +ArXiv | +0 | +4 | +
visibility_off | ++ Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data + + | ++ Yufei He, Zhenyu Hou, Yukuo Cen, Feng He, Xu Cheng, Bryan Hooi + | +2024-07-04 | +ArXiv | +0 | +12 | +
visibility_off | ++ TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting + + | ++ Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang + | +2024-06-06 | +ArXiv | +2 | +5 | +
visibility_off | ++ Revisiting Attention for Multivariate Time Series Forecasting + + | ++ Haixiang Wu + | +2024-07-18 | +ArXiv | +0 | +0 | +
visibility_off | ++ Long Input Sequence Network for Long Time Series Forecasting + + | ++ Chao Ma, Yikai Hou, Xiang Li, Yinggang Sun, Haining Yu + | +2024-07-18 | +ArXiv | +0 | +0 | +
visibility_off | ++ All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks + + | ++ Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, M. P. Alagappan, G. Hiranandani, Ying Ding, Zhangyang Wang, E-Wen Huang, Karthik Subbian + | +2024-07-20 | +ArXiv | +0 | +21 | +
visibility_off | ++ Learning Long Range Dependencies on Graphs via Random Walks + + | ++ Dexiong Chen, Till Hendrik Schulz, Karsten Borgwardt + | +2024-06-05 | +ArXiv | +0 | +8 | +
visibility_off | ++ Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift + + | ++ Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbin Cao + | +2024-07-18 | +ArXiv | +0 | +4 | +
visibility_off | ++ Fine-grained Attention in Hierarchical Transformers for Tabular Time-series + + | ++ Raphaël Azorin, Z. B. Houidi, Massimo Gallo, A. Finamore, Pietro Michiardi + | +2024-06-21 | +ArXiv | +0 | +24 | +
visibility_off | ++ Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures + + | ++ Fernando Moreno-Pino, Alvaro Arroyo, H. Waldon, Xiaowen Dong, Álvaro Cartea + | +2024-05-31 | +ArXiv | +0 | +5 | +
visibility_off | ++ Modeling epidemic dynamics using Graph Attention based Spatial Temporal networks + + | ++ Xiaofeng Zhu, Yi Zhang, Haoru Ying, Huanning Chi, Guanqun Sun, Lingxia Zeng + | +2024-07-15 | +PLOS ONE | +0 | +0 | +
visibility_off | ++ Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models + + | ++ Litton J. Kurisinkel, Pruthwik Mishra, Yue Zhang + | +2024-07-04 | +ArXiv | +0 | +5 | +
visibility_off | ++ ESQA: Event Sequences Question Answering + + | ++ Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan A Kireev, Andrey Savchenko + | +2024-07-03 | +ArXiv | +0 | +4 | +
visibility_off | ++ Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs + + | ++ Ahmad Naser Eddin, Jacopo Bono, David Apar'icio, Hugo Ferreira, Pedro Ribeiro, P. Bizarro + | +2024-07-10 | +ArXiv | +0 | +17 | +
visibility_off | ++ MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data + + | ++ Jianping Zhou, Bin Lu, Zhanyu Liu, Siyu Pan, Xuejun Feng, Hua Wei, Guanjie Zheng, Xinbing Wang, Cheng Zhou + | +2024-06-05 | +ArXiv | +0 | +6 | +
visibility_off | ++ Efficient Neural Common Neighbor for Temporal Graph Link Prediction + + | ++ Xiaohui Zhang, Yanbo Wang, Xiyuan Wang, Muhan Zhang + | +2024-06-12 | +ArXiv | +0 | +6 | +
visibility_off | ++ A Survey of Transformer Enabled Time Series Synthesis + + | ++ Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jaboure, Thomas Arnold + | +2024-06-04 | +ArXiv | +0 | +13 | +
visibility_off | ++ A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting + + | ++ Remi Genet, Hugo Inzirillo + | +2024-06-04 | +ArXiv | +8 | +1 | +
visibility_off | ++ Long Range Propagation on Continuous-Time Dynamic Graphs + + | ++ Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt + | +2024-06-04 | +ArXiv | +0 | +10 | +
visibility_off | ++ Towards Neural Scaling Laws for Foundation Models on Temporal Graphs + + | ++ Razieh Shirzadkhani, Tran Gia Bao Ngo, Kiarash Shamsi, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, C. Akcora + | +2024-06-14 | +ArXiv | +0 | +19 | +
visibility_off | ++ Skip-Timeformer: Skip-Time Interaction Transformer for Long Sequence Time-Series Forecasting + + | ++ Wenchang Zhang, Hua Wang, Fan Zhang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +4 | +
visibility_off | ++ TDT Loss Takes It All: Integrating Temporal Dependencies among Targets into Non-Autoregressive Time Series Forecasting + + | ++ Qi Xiong, Kai Tang, Minbo Ma, Jie Xu, Tianrui Li + | +2024-06-07 | +ArXiv | +0 | +4 | +
visibility_off | ++ Dr.E Bridges Graphs with Large Language Models through Words + + | ++ Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng + | +2024-06-19 | +ArXiv | +0 | +10 | +
visibility_off | ++ Large Language Models as Event Forecasters + + | ++ Libo Zhang, Yue Ning + | +2024-06-15 | +ArXiv | +1 | +0 | +
visibility_off | ++ GLBench: A Comprehensive Benchmark for Graph with Large Language Models + + | ++ Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li + | +2024-07-10 | +ArXiv | +0 | +5 | +
visibility_off | ++ Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models + + | ++ Ali Behrouz, Michele Santacatterina, Ramin Zabih + | +2024-06-06 | +ArXiv | +0 | +8 | +
visibility_off | ++ DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation + + | ++ Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, F. Tsung + | +2024-06-07 | +ArXiv | +2 | +47 | +
visibility_off | ++ Bag-of-Future: Time Series Forecasting by Continuous Function Candidates + + | ++ Hendrik Klopries, Vignesh Chandramouli, Andreas Schwung + | +2024-06-18 | +2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE) | +0 | +13 | +
visibility_off | ++ MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data + + | ++ Khanh-Tung Tran, T. Hy, Lili Jiang, Xuan-Son Vu + | +2023-10-23 | +Scientific Reports | +0 | +7 | +
visibility_off | ++ ST-RetNet: A Long-term Spatial-Temporal Traffic Flow Prediction Method + + | ++ Baichao Long, Wang Zhu, Jianli Xiao + | +2024-07-13 | +ArXiv | +0 | +0 | +
visibility_off | ++ UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs + + | ++ Shenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi + | +2024-07-17 | +ArXiv | +0 | +5 | +
visibility_off | ++ Transformers meet Neural Algorithmic Reasoners + + | ++ Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velivckovi'c + | +2024-06-13 | +ArXiv | +0 | +67 | +
visibility_off | ++ F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data + + | ++ Zexing Xu, Linjun Zhang, Sitan Yang, Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han + | +2024-06-23 | +ArXiv | +0 | +1 | +
visibility_off | ++ Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning + + | ++ Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. A. Prakash + | +2024-06-13 | +ArXiv | +0 | +9 | +
visibility_off | ++ Slot State Space Models + + | ++ Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn + | +2024-06-18 | +ArXiv | +0 | +10 | +
visibility_off | ++ TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks + + | ++ Ninghui Feng, Songning Lai, Fobao Zhou, Zhenxiao Yin, Hang Zhao + | +2024-06-07 | +ArXiv | +0 | +2 | +
visibility_off | ++ Capturing Temporal Components for Time Series Classification + + | ++ Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur + | +2024-06-20 | +ArXiv | +0 | +7 | +
visibility_off | ++ Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba + + | ++ Yuchen Zou, Yineng Chen, Z. Li, Lefei Zhang, Hai Zhao + | +2024-06-24 | +ArXiv | +0 | +20 | +
visibility_off | ++ Mamba Hawkes Process + + | ++ Anningzhe Gao, Shan Dai, Yan Hu + | +2024-07-07 | +ArXiv | +0 | +1 | +
visibility_off | ++ Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability + + | ++ Kunpeng Xu, Lifei Chen, Shengrui Wang + | +2024-06-04 | +ArXiv | +8 | +4 | +
visibility_off | ++ Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity + + | ++ Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. A. Prakash + | +2024-07-02 | +ArXiv | +0 | +7 | +
visibility_off | ++ An Unsupervised Long- and Short-Term Sparse Graph Neural Network for Multisensor Anomaly Detection + + | ++ Qiucheng Miao, Dandan Wang, Chuanfu Xu, Jun Zhan, Cheng-Feng Wu + | +2024-07-15 | +IEEE Sensors Journal | +0 | +6 | +
visibility_off | ++ Struct-X: Enhancing Large Language Models Reasoning with Structured Data + + | ++ Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi + | +2024-07-17 | +ArXiv | +0 | +5 | +
visibility_off | ++ Time-series representation learning via Time-Frequency Fusion Contrasting + + | ++ Wenbo Zhao, Ling Fan + | +2024-06-12 | +Frontiers in Artificial Intelligence | +0 | +1 | +
visibility_off | ++ EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation + + | ++ Yuda Wang, Xuxin He, Shengxin Zhu + | +2024-06-04 | +ArXiv | +2 | +1 | +
visibility_off | ++ ARFGCN: Adaptive Receptive Field Graph Convolutional Network for Urban Crowd Flow Prediction + + | ++ Genan Dai, Hutchin Huang, Xiaojiang Peng, Bowen Zhang, Xianghua Fu + | +2024-06-03 | +Mathematics | +0 | +2 | +
visibility_off | ++ Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting + + | ++ Yuansan Liu, S. Wijewickrema, Dongting Hu, C. Bester, Stephen O'Leary, James Bailey + | +2024-06-05 | +ArXiv | +0 | +15 | +
visibility_off | ++ Efficient and Effective Implicit Dynamic Graph Neural Network + + | ++ Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari + | +2024-06-25 | +ArXiv | +0 | +4 | +
visibility_off | ++ BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms + + | ++ Yongxin Fan, Qian Tang, Yangming Guo, Yifei Wei + | +2024-06-01 | +Sensors (Basel, Switzerland) | +0 | +1 | +
visibility_off | ++ Interconnected Traffic Forecasting Using Time Distributed Encoder-Decoder Multivariate Multi-Step LSTM + + | ++ Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar + | +2024-06-02 | +2024 IEEE Intelligent Vehicles Symposium (IV) | +0 | +5 | +
visibility_off | ++ XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges + + | ++ Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim + | +2024-06-18 | +ArXiv | +0 | +6 | +
visibility_off | ++ Forecasting with Deep Learning: Beyond Average of Average of Average Performance + + | ++ Vítor Cerqueira, Luis Roque, Carlos Soares + | +2024-06-24 | +ArXiv | +0 | +13 | +
visibility_off | ++ FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets + + | ++ Xiaohui Victor Li, Francesco Sanna Passino + | +2024-07-15 | +ArXiv | +0 | +6 | +
visibility_off | ++ Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism + + | ++ Sangyoun Lee, Juho Jung, Changdae Oh, Sunghee Yun + | +2024-07-18 | +ArXiv | +0 | +0 | +
visibility_off | ++ Longhorn: State Space Models are Amortized Online Learners + + | ++ Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qian Liu + | +2024-07-19 | +ArXiv | +0 | +16 | +
visibility_off | ++ Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis + + | ++ Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. A. Prakash + | +2024-06-12 | +ArXiv | +0 | +9 | +
visibility_off | ++ ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting + + | ++ Luoxiao Yang, Yun Wang, Xinqi Fan, Israel Cohen, Yue Zhao, Zijun Zhang + | +2024-07-10 | +ArXiv | +0 | +8 | +
visibility_off | ++ Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism + + | ++ Chang Zong, Jian Shao, Weiming Lu, Yueting Zhuang + | +2024-06-06 | +ArXiv | +0 | +2 | +
visibility_off | ++ From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning + + | ++ Moritz Lampert, Christopher Blöcker, Ingo Scholtes + | +2024-06-07 | +ArXiv | +0 | +1 | +
visibility_off | ++ Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks + + | ++ Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang + | +2024-06-08 | +ArXiv | +0 | +10 | +
visibility_off | ++ Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow + + | ++ Tian Guo, E. Hauptmann + | +2024-07-25 | +ArXiv | +0 | +3 | +
visibility_off | ++ Anomaly detection model for large-scale industrial systems using transfer entropy and graph attention network + + | ++ Shuo Liang, Dechang Pi, Xiangyan Zhang + | +2024-06-05 | +Measurement Science and Technology | +0 | +1 | +
visibility_off | ++ Foundations and Frontiers of Graph Learning Theory + + | ++ Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen + | +2024-07-03 | +ArXiv | +0 | +37 | +
visibility_off | ++ TimeInf: Time Series Data Contribution via Influence Functions + + | ++ Yizi Zhang, Jingyan Shen, Xiaoxue Xiong, Yongchan Kwon + | +2024-07-21 | +ArXiv | +0 | +0 | +
visibility_off | ++ Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling + + | ++ Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang + | +2024-06-14 | +ArXiv | +0 | +3 | +
visibility_off | ++ Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models + + | ++ Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang + | +2024-07-19 | +ArXiv | +0 | +11 | +
visibility_off | ++ TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing + + | ++ Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shi Xu, Shixiang Zhu, Guang Cheng + | +2024-06-23 | +ArXiv | +0 | +3 | +
visibility_off | ++ Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model + + | ++ Yuxing Tian, Yiyan Qi, Aiwen Jiang, Qi Huang, Jian Guo + | +2024-07-11 | +ArXiv | +0 | +2 | +
visibility_off | ++ State Space Models on Temporal Graphs: A First-Principles Study + + | ++ Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng + | +2024-06-03 | +ArXiv | +0 | +10 | +
visibility_off | ++ Machine Learning-Enhanced Pairs Trading + + | ++ Eli Hadad, Sohail Hodarkar, Beakal Lemeneh, Dennis Shasha + | +2024-06-11 | +Forecasting | +0 | +0 | +
visibility_off | ++ Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting + + | ++ Sanghyun Lee, Chanyoung Park + | +2024-06-04 | +ArXiv | +0 | +0 | +
visibility_off | ++ In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs + + | ++ Grzegorz Kaszuba, Amirhossein D. Naghdi, Dario Massa, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski + | +2024-06-03 | +ArXiv | +0 | +2 | +
visibility_off | ++ Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers + + | ++ Chao Lou, Zixia Jia, Zilong Zheng, Kewei Tu + | +2024-06-24 | +ArXiv | +0 | +21 | +
visibility_off | ++ Temporal Graph Rewiring with Expander Graphs + + | ++ Katarina Petrovi'c, Shenyang Huang, Farimah Poursafaei, Petar Velickovic + | +2024-06-04 | +ArXiv | +0 | +2 | +
visibility_off | ++ Kolmogorov-Arnold Graph Neural Networks + + | ++ Gianluca De Carlo, A. Mastropietro, Aris Anagnostopoulos + | +2024-06-26 | +ArXiv | +1 | +4 | +
visibility_off | ++ FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model + + | ++ Chu Li, Bingjia Xiao, Q. Yuan + | +2024-06-06 | +ArXiv | +0 | +1 | +
visibility_off | ++ CausalFormer: An Interpretable Transformer for Temporal Causal Discovery + + | ++ Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, J. Guan, Shuigeng Zhou + | +2024-06-24 | +ArXiv | +0 | +49 | +
visibility_off | ++ SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting + + | ++ Ziyu Zhou, Gengyu Lyu, Yiming Huang, Zihao Wang, Ziyu Jia, Zhen Yang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +11 | +
visibility_off | ++ Many-to-Many Prediction for Effective Modeling of Frequent Label Transitions in Time Series + + | ++ Alexander Katrompas, V. Metsis + | +2024-06-26 | +Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments | +0 | +17 | +
visibility_off | ++ Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecasting + + | ++ Qi Sima, Xinze Zhang, Yukun Bao, Siyue Yang, Liang Shen + | +2024-06-14 | +ArXiv | +0 | +0 | +
visibility_off | ++ LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning + + | ++ Junjie Xu, Zongyu Wu, Min Lin, Xiang Zhang, Suhang Wang + | +2024-06-03 | +ArXiv | +2 | +3 | +
visibility_off | ++ A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges + + | ++ Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Poor, Qingsong Wen, Stefan Zohren + | +2024-06-15 | +ArXiv | +2 | +3 | +
visibility_off | ++ Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs + + | ++ J. V. Pichowski, Vincenzo Perri, Lisi Qarkaxhija, Ingo Scholtes + | +2024-06-24 | +ArXiv | +0 | +8 | +
visibility_off | ++ A Language Model-Guided Framework for Mining Time Series with Distributional Shifts + + | ++ Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko + | +2024-06-07 | +ArXiv | +0 | +7 | +
visibility_off | ++ Mamba State-Space Models Can Be Strong Downstream Learners + + | ++ John T. Halloran, Manbir Gulati, Paul F. Roysdon + | +2024-05-31 | +ArXiv | +0 | +5 | +
visibility_off | ++ Mamba-PTQ: Outlier Channels in Recurrent Large Language Models + + | ++ Alessandro Pierro, Steven Abreu + | +2024-07-17 | +ArXiv | +0 | +1 | +
visibility_off | ++ Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting + + | ++ Peiyu Yi, Feihu Huang, Jian Peng, Zhifeng Bao + | +2024-06-27 | +ACM Transactions on Spatial Algorithms and Systems | +0 | +3 | +
visibility_off | ++ Unilateral boundary time series forecasting + + | ++ Chao-Min Chang, Cheng-Te Li, Shou-de Lin + | +2024-06-05 | +Frontiers in Big Data | +0 | +2 | +
visibility_off | ++ WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark + + | ++ Tao Han, Song Guo, Zhenghao Chen, Wanghan Xu, Lei Bai + | +2024-06-20 | +ArXiv | +1 | +4 | +
visibility_off | ++ Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns + + | ++ Haoren Zhu, Pengfei Zhao, NG WilfredSiuHung, Dik Lun Lee + | +2024-06-13 | +ArXiv | +0 | +2 | +
visibility_off | ++ Temporal receptive field in dynamic graph learning: A comprehensive analysis + + | ++ Yannis Karmim, Leshanshui Yang, Raphael Fournier S'Niehotta, Cl'ement Chatelain, S'ebastien Adam, Nicolas Thome + | +2024-07-17 | +ArXiv | +0 | +1 | +
visibility_off | ++ DyHANE: dynamic heterogeneous attributed network embedding through experience node replay + + | ++ Liliana Martirano, D. Ienco, R. Interdonato, Andrea Tagarelli + | +2024-07-05 | +Appl. Netw. Sci. | +0 | +29 | +
visibility_off | ++ Decoupled Invariant Attention Network for Multivariate Time-series Forecasting + + | ++ Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +2 | +
visibility_off | ++ TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems + + | ++ Jing Yang, Yu Zhao, Linyao Yang, Xiao Wang, Long Chen, Fei-Yue Wang + | +2024-06-21 | +ArXiv | +0 | +8 | +
visibility_off | ++ An improved convolutional recurrent neural network for stock price forecasting + + | ++ Hoang Vuong Pham, Hung Phu Lam, Le Nhat Duy, T. Pham, T. Trinh + | +2024-09-01 | +IAES International Journal of Artificial Intelligence (IJ-AI) | +0 | +4 | +
visibility_off | ++ Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting + + | ++ Sojung An, Tae-Jin Oh, Eunha Sohn, Donghyun Kim + | +2024-06-07 | +ArXiv | +0 | +1 | +
visibility_off | ++ Harnessing Temporal Causality for Advanced Temporal Action Detection + + | ++ Shuming Liu, Lin Sui, Chen-Lin Zhang, Fangzhou Mu, Chen Zhao, Bernard Ghanem + | +2024-07-25 | +ArXiv | +0 | +10 | +
visibility_off | ++ LFPLM: A General and Flexible Load Forecasting Framework based on Pre-trained Language Model + + | ++ Mingyang Gao, Suyang Zhou, Wei Gu, Zhi Wu, Zijian Hu, Hong Zhu, Haiquan Liu + | +2024-06-17 | +ArXiv | +0 | +33 | +
visibility_off | ++ ContrAttNet: Contribution and attention approach to multivariate time-series data imputation. + + | ++ Yunfei Yin, Caihao Huang, Xianjian Bao + | +2024-06-03 | +Network | +0 | +2 | +
visibility_off | ++ Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach + + | ++ Zilin Bian, Jingqin Gao, K. Ozbay, Zhenning Li + | +2024-06-18 | +ArXiv | +0 | +44 | +
visibility_off | ++ Continual Traffic Forecasting via Mixture of Experts + + | ++ Sanghyun Lee, Chanyoung Park + | +2024-06-05 | +ArXiv | +0 | +0 | +
visibility_off | ++ Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models + + | ++ David Bergstrom, Mattias Tiger, Fredrik Heintz + | +2024-06-18 | +ArXiv | +0 | +6 | +
visibility_off | ++ A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections + + | ++ Jewel Rana Palit, Osama A Osman + | +2024-06-02 | +ArXiv | +0 | +1 | +
visibility_off | ++ Learning Divergence Fields for Shift-Robust Graph Representations + + | ++ Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan + | +2024-06-07 | +ArXiv | +0 | +17 | +
visibility_off | ++ Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models + + | ++ Jiexin Wang, Adam Jatowt, Yi Cai + | +2024-06-04 | +ArXiv | +0 | +5 | +
visibility_off | ++ NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data + + | ++ Patryk Wielopolski, Oleksii Furman, Maciej Zięba + | +2024-07-01 | +Entropy | +0 | +2 | +
visibility_off | ++ Transformer Conformal Prediction for Time Series + + | ++ Junghwan Lee, Chen Xu, Yao Xie + | +2024-06-08 | +ArXiv | +0 | +7 | +
visibility_off | ++ Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness + + | ++ Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang + | +2024-07-16 | +ArXiv | +0 | +21 | +
visibility_off | ++ Large Generative Graph Models + + | ++ Yu Wang, Ryan Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr + | +2024-06-07 | +ArXiv | +0 | +36 | +
visibility_off | ++ LeRet: Language-Empowered Retentive Network for Time Series Forecasting + + | ++ Qihe Huang, Zhen-Qiang Zhou, Kuo Yang, Gengyu Lin, Zhongchao Yi, Yang Wang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +2 | +
visibility_off | ++ Temporal Convolution Derived Multi-Layered Reservoir Computing + + | ++ Johannes Viehweg, Dominik Walther, Prof. Dr.-Ing. Patrick Mader + | +2024-07-09 | +ArXiv | +0 | +2 | +
visibility_off | ++ Curriculum Negative Mining For Temporal Networks + + | ++ Ziyue Chen, Tongya Zheng, Mingli Song + | +2024-07-24 | +ArXiv | +0 | +5 | +
visibility_off | ++ D2LLM: Decomposed and Distilled Large Language Models for Semantic Search + + | ++ Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang + | +2024-06-25 | +ArXiv | +0 | +16 | +
visibility_off | ++ Latent Logic Tree Extraction for Event Sequence Explanation from LLMs + + | ++ Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li + | +2024-06-03 | +ArXiv | +0 | +1 | +
visibility_off | ++ Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach + + | ++ Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Farhan Tanvir, Esra Akbas + | +2024-07-16 | +ArXiv | +0 | +10 | +
visibility_off | ++ TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs + + | ++ J. Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Alipanah Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau + | +2024-06-14 | +ArXiv | +0 | +19 | +
visibility_off | ++ Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach + + | ++ Georgios Tsoumplekas, C. Athanasiadis, D.I. Doukas, Antonios C. Chrysopoulos, P. Mitkas + | +2024-06-09 | +ArXiv | +0 | +29 | +
visibility_off | ++ SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers + + | ++ Chengjie Zhou, Chao Che, Pengfei Wang, Qiang Zhang + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +7 | +
visibility_off | ++ Frequency-Enhanced Transformer with Symmetry-Based Lightweight Multi-Representation for Multivariate Time Series Forecasting + + | ++ Chenyue Wang, Zhouyuan Zhang, Xin Wang, Mingyang Liu, Lin Chen, Jiatian Pi + | +2024-06-25 | +Symmetry | +0 | +1 | +
visibility_off | ++ Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting + + | ++ Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme + | +2024-06-11 | +ArXiv | +0 | +4 | +
visibility_off | ++ Introducing a Physics-informed Deep Learning Framework for Bridge Scour Prediction + + | ++ N. Yousefpour, Bo Wang + | +2024-07-01 | +ArXiv | +0 | +6 | +
visibility_off | ++ Disentangling Domain and General Representations for Time Series Classification + + | ++ Youmin Chen, Xinyu Yan, Yang Yang, Jianfeng Zhang, Jing Zhang, Lujia Pan, Juren Li + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +6 | +
visibility_off | ++ Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting + + | ++ Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, I. Redko + | +2024-06-14 | +ArXiv | +0 | +49 | +
visibility_off | ++ Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization + + | ++ Sheo Yon Jhin, Seojin Kim, Noseong Park + | +2024-06-29 | +ArXiv | +0 | +1 | +
visibility_off | ++ Parallelizing Autoregressive Generation with Variational State Space Models + + | ++ Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien Ernst + | +2024-07-11 | +ArXiv | +0 | +2 | +
visibility_off | ++ Human-like Episodic Memory for Infinite Context LLMs + + | ++ Z. Fountas, Martin A Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang + | +2024-07-12 | +ArXiv | +0 | +25 | +
visibility_off | ++ HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? + + | ++ Ivan Karpukhin, F. Shipilov, Andrey Savchenko + | +2024-06-20 | +ArXiv | +0 | +0 | +
visibility_off | ++ Efficient World Models with Context-Aware Tokenization + + | ++ Vincent Micheli, Eloi Alonso, Franccois Fleuret + | +2024-06-27 | +ArXiv | +0 | +11 | +
visibility_off | ++ An Unsupervised Approach for Periodic Source Detection in Time Series + + | ++ B. U. Demirel, Christian Holz + | +2024-06-01 | +ArXiv | +0 | +5 | +
visibility_off | ++ Knowledge Graph-Enhanced Large Language Models via Path Selection + + | ++ Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li + | +2024-06-19 | +ArXiv | +0 | +14 | +
visibility_off | ++ Spatial-temporal Attention Model Based on Transformer Architecture for Anomaly Detection in Multivariate Time Series Data + + | ++ Lai Zeng Lai Zeng, Xiaomei Yang Lai Zeng + | +2024-06-01 | +電腦學刊 | +0 | +0 | +
visibility_off | ++ Learning Global and Local Features of Power Load Series Through Transformer and 2D-CNN: An image-based Multi-step Forecasting Approach Incorporating Phase Space Reconstruction + + | ++ Zihan Tang, Tianyao Ji, Wenhu Tang + | +2024-07-16 | +ArXiv | +0 | +0 | +
visibility_off | ++ How In-Context Learning Emerges from Training on Unstructured Data: On the Role of Co-Occurrence, Positional Information, and Noise Structures + + | ++ Kevin Christian Wibisono, Yixin Wang + | +2024-05-31 | +ArXiv | +0 | +0 | +
visibility_off | ++ How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities + + | ++ Jerry Huang + | +2024-07-11 | +ArXiv | +0 | +0 | +
visibility_off | ++ Bi-directional LSTM-GRU Based Time Series Forecasting Approach + + | ++ Bo He, Longbing Li, Yunya Bo, Jingxuan Zhou + | +2024-07-19 | +International Journal of Computer Science and Information Technology | +0 | +0 | +
visibility_off | ++ Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens + + | ++ Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta + | +2024-06-12 | +ArXiv | +0 | +7 | +
visibility_off | ++ Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding + + | ++ Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua + | +2024-06-04 | +ArXiv | +0 | +13 | +
visibility_off | ++ Enhancing Few-Shot Stock Trend Prediction with Large Language Models + + | ++ Yiqi Deng, Xingwei He, Jiahao Hu, S.M. Yiu + | +2024-07-12 | +ArXiv | +0 | +1 | +
visibility_off | ++ Learning on Large Graphs using Intersecting Communities + + | ++ Ben Finkelshtein, I. Ceylan, Michael Bronstein, Ron Levie + | +2024-05-31 | +ArXiv | +1 | +15 | +
visibility_off | ++ Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting + + | ++ Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai + | +2024-06-06 | +ArXiv | +0 | +1 | +
visibility_off | ++ Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs + + | ++ Jay Revolinsky, Harry Shomer, Jiliang Tang + | +2024-06-13 | +ArXiv | +0 | +4 | +
visibility_off | ++ ATL-Net: Ocean Current Prediction Based on Self-Attention Mechanism and Feature Enhancement + + | ++ Qingyu Sun, Yi An, Xiangjun Yu, Lin Wu, Shuang Wei + | +2024-06-07 | +2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC) | +0 | +0 | +
visibility_off | ++ Spatio-Temporal Parallel Transformer based model for Traffic Prediction + + | ++ Rahul Kumar, João Mendes‐Moreira, Joydeep Chandra + | +2024-07-19 | +ACM Transactions on Knowledge Discovery from Data | +0 | +5 | +
visibility_off | ++ Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network + + | ++ Abubakar Isah, I. Aliyu, Jaechan Shim, Hoyong Ryu, Jinsul Kim + | +2024-06-06 | +ArXiv | +0 | +3 | +
visibility_off | ++ Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point + + | ++ Christina X. Ji, Ahmed M. Alaa, David Sontag + | +2024-07-12 | +ArXiv | +0 | +3 | +
visibility_off | ++ Neuro-Symbolic Temporal Point Processes + + | ++ Yang Yang, Chao Yang, Boyang Li, Ying Fu, Shuang Li + | +2024-06-06 | +ArXiv | +0 | +1 | +
visibility_off | ++ Large Language Models are Zero-Shot Next Location Predictors + + | ++ Ciro Beneduce, Bruno Lepri, Massimiliano Luca + | +2024-05-31 | +ArXiv | +0 | +8 | +
visibility_off | ++ Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction + + | ++ Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai + | +2024-06-27 | +ArXiv | +0 | +2 | +
visibility_off | ++ Anomaly detection in multivariate time series data using deep ensemble models + + | ++ Amjad Iqbal, Rashid Amin, Faisal S. Alsubaei, Abdulrahman Alzahrani + | +2024-06-06 | +PLOS ONE | +0 | +4 | +
visibility_off | ++ Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles + + | ++ Jianzhe Xue, Dongcheng Yuan, Yu Sun, Tianqi Zhang, Wenchao Xu, Haibo Zhou, Xuemin Shen + | +2024-07-10 | +ArXiv | +0 | +3 | +
visibility_off | ++ STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning + + | ++ Wei Shao, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim + | +2024-06-06 | +ArXiv | +0 | +3 | +
visibility_off | ++ Combining Knowledge Graphs and Large Language Models + + | ++ Amanda Kau, Xuzeng He, Aishwarya Nambissan, Aland Astudillo, Hui Yin, Amir Aryani + | +2024-07-09 | +ArXiv | +0 | +0 | +
visibility_off | ++ LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models + + | ++ Renzhi Wang, Piji Li + | +2024-06-28 | +ArXiv | +0 | +1 | +
visibility_off | ++ CAFO: Feature-Centric Explanation on Time Series Classification + + | ++ Jaeho Kim, S. Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee + | +2024-06-03 | +ArXiv | +0 | +3 | +
visibility_off | ++ Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets + + | ++ Josh Collyer, Tim Watson, Iain Phillips + | +2024-06-02 | +ArXiv | +0 | +1 | +
visibility_off | ++ An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction + + | ++ Qinhua Jiang, Xishun Liao, Yaofa Gong, Jiaqi Ma + | +2024-05-31 | +ArXiv | +1 | +4 | +
visibility_off | ++ Deep State Space Recurrent Neural Networks for Time Series Forecasting + + | ++ Hugo Inzirillo + | +2024-07-21 | +ArXiv | +0 | +0 | +
visibility_off | ++ ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models + + | ++ Hwiyeol Jo, Hyunwoo Lee, Taiwoo Park + | +2024-06-19 | +ArXiv | +0 | +0 | +
visibility_off | ++ Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning + + | ++ Jihyeon Seong, Sekwang Oh, Jaesik Choi + | +2024-06-06 | +ArXiv | +0 | +0 | +
visibility_off | ++ The Significance of Latent Data Divergence in Predicting System Degradation + + | ++ Miguel Fernandes, Catarina Silva, Alberto Cardoso, Bernardete Ribeiro + | +2024-06-13 | +ArXiv | +0 | +3 | +
visibility_off | ++ Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference + + | ++ Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar + | +2024-06-19 | +ArXiv | +0 | +14 | +
visibility_off | ++ Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting + + | ++ Liang Zhang, Jianping Zhu, Bo Jin, Xiaopeng Wei + | +2024-07-01 | +Sensors (Basel, Switzerland) | +0 | +8 | +
visibility_off | ++ TSI-Bench: Benchmarking Time Series Imputation + + | ++ Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. A. Prakash, Qingsong Wen + | +2024-06-18 | +ArXiv | +2 | +4 | +
visibility_off | ++ Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction + + | ++ Junzhi Wen, R. Angryk + | +2024-05-31 | +ArXiv | +0 | +22 | +
visibility_off | ++ Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations + + | ++ Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim + | +2024-06-10 | +ArXiv | +0 | +0 | +
visibility_off | ++ Multifeature-Based Variational Mode Decomposition–Temporal Convolutional Network–Long Short-Term Memory for Short-Term Forecasting of the Load of Port Power Systems + + | ++ Guang Chen, Xiaofeng Ma, Lin Wei + | +2024-06-22 | +Sustainability | +0 | +0 | +
visibility_off | ++ Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion + + | ++ Boyuan Chen, Diego Marti Monso, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann + | +2024-07-01 | +ArXiv | +0 | +3 | +
visibility_off | ++ An NCDE-based Framework for Universal Representation Learning of Time Series + + | ++ Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +25 | +
visibility_off | ++ A Closer Look at Deep Learning on Tabular Data + + | ++ Han-Jia Ye, Si-Yang Liu, Hao-Run Cai, Qi-Le Zhou, De-chuan Zhan + | +2024-07-01 | +ArXiv | +1 | +29 | +
visibility_off | ++ Distributional Refinement Network: Distributional Forecasting via Deep Learning + + | ++ Benjamin Avanzi, Eric Dong, P. Laub, Bernard Wong + | +2024-06-03 | +ArXiv | +0 | +14 | +
visibility_off | ++ A spatial-temporal graph gated transformer for traffic forecasting + + | ++ Haroun Bouchemoukha, M. Zennir, Ahmed Alioua + | +2024-06-26 | +Trans. Emerg. Telecommun. Technol. | +0 | +4 | +
visibility_off | ++ Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework + + | ++ Ruibo Tu, Zineb Senane, Lele Cao, Cheng Zhang, H. Kjellström, G. Henter + | +2024-06-12 | +ArXiv | +0 | +36 | +
visibility_off | ++ FLRNN-FGA: Fractional-Order Lipschitz Recurrent Neural Network with Frequency-Domain Gated Attention Mechanism for Time Series Forecasting + + | ++ Chunna Zhao, Junjie Ye, Zelong Zhu, Yaqun Huang + | +2024-07-22 | +Fractal and Fractional | +0 | +7 | +
visibility_off | ++ GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs + + | ++ Vipul Gupta, Xin Chen, Ruoyun Huang, Fanlong Meng, Jianjun Chen, Yujun Yan + | +2024-07-22 | +ArXiv | +0 | +0 | +
visibility_off | ++ Cascading Large Language Models for Salient Event Graph Generation + + | ++ Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He + | +2024-06-26 | +ArXiv | +0 | +10 | +
visibility_off | ++ Parallelizing Linear Transformers with the Delta Rule over Sequence Length + + | ++ Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim + | +2024-06-10 | +ArXiv | +1 | +9 | +
visibility_off | ++ Short-Term Power Load Forecasting Using a VMD-Crossformer Model + + | ++ Siting Li, Huafeng Cai + | +2024-06-05 | +Energies | +0 | +3 | +
visibility_off | ++ CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting + + | ++ Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong + | +2024-06-04 | +ArXiv | +0 | +5 | +
visibility_off | ++ AIFS - ECMWF's data-driven forecasting system + + | ++ Simon Lang, Mihai Alexe, M. Chantry, J. Dramsch, F. Pinault, Baudouin Raoult, Mariana C. A. Clare, Christian Lessig, Michael Maier‐Gerber, Linus Magnusson, Z. B. Bouallègue, Ana Prieto Nemesio, P. Dueben, Andrew Brown, F. Pappenberger, F. Rabier + | +2024-06-03 | +ArXiv | +4 | +73 | +
visibility_off | ++ Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management + + | ++ Yoon-Jeong Hwang, Stefan Zohren, Yongjae Lee + | +2024-07-18 | +ArXiv | +0 | +1 | +
visibility_off | ++ Multi-variable Adversarial Time-Series Forecast Model + + | ++ Xiaoqiao Chen + | +2024-06-02 | +ArXiv | +0 | +0 | +
visibility_off | ++ GNNTAL:A Novel Model for Identifying Critical Nodes in Complex Networks + + | ++ Hao Wang, Ting Luo, Shuang-ping Yang, Ming Jing, Jian Wang, Na Zhao + | +2024-06-24 | +ArXiv | +0 | +3 | +
visibility_off | ++ Discover Your Neighbors: Advanced Stable Test-Time Adaptation in Dynamic World + + | ++ Qinting Jiang, Chuyang Ye, Dongyan Wei, Yuan Xue, Jingyan Jiang, Zhi Wang + | +2024-06-08 | +ArXiv | +0 | +1 | +
visibility_off | ++ Nonlinear time-series embedding by monotone variational inequality + + | ++ Jonathan Y. Zhou, Yao Xie + | +2024-06-11 | +ArXiv | +0 | +0 | +
visibility_off | ++ Graph Structure Learning with Interpretable Bayesian Neural Networks + + | ++ Max Wasserman, Gonzalo Mateos + | +2024-06-20 | +ArXiv | +0 | +3 | +
visibility_off | ++ HAF-RM: A Hybrid Alignment Framework for Reward Model Training + + | ++ Shujun Liu, Xiaoyu Shen, Yuhang Lai, Siyuan Wang, Shengbin Yue, Zengfeng Huang, Xuanjing Huang, Zhongyu Wei + | +2024-07-04 | +ArXiv | +0 | +14 | +
visibility_off | ++ SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series + + | ++ Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma + | +2024-08-01 | +Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence | +0 | +0 | +
visibility_off | ++ Adaptive Cascading Network for Continual Test-Time Adaptation + + | ++ Kien X. Nguyen, Fengchun Qiao, Xi Peng + | +2024-07-17 | +ArXiv | +0 | +6 | +
visibility_off | ++ DRLSTM-DA: a novel aeroengine remaining useful life prediction method based on deep optimization of multiple sensors information + + | ++ Shiwei Suo, Song Fu, Lin Lin, Sihao Zhang, Yikun Liu, Guolei Hu, Changsheng Hu + | +2024-06-17 | +Measurement Science and Technology | +0 | +7 | +
visibility_off | ++ Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution + + | ++ Dinh Phu Tran, Dao Duy Hung, Daeyoung Kim + | +2024-07-23 | +ArXiv | +0 | +0 | +
visibility_off | ++ Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models + + | ++ Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz + | +2024-06-05 | +ArXiv | +0 | +6 | +
visibility_off | ++ Estimating Knowledge in Large Language Models Without Generating a Single Token + + | ++ Daniela Gottesman, Mor Geva + | +2024-06-18 | +ArXiv | +1 | +21 | +
visibility_off | ++ Approximating G(t)/GI/1 queues with deep learning + + | ++ Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel S. Resheff + | +2024-07-11 | +ArXiv | +0 | +14 | +
visibility_off | ++ Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks + + | ++ Abanoub M. Girgis, Álvaro Valcarce, Mehdi Bennis + | +2024-06-07 | +ArXiv | +0 | +4 | +
visibility_off | ++ Generative Modelling of Structurally Constrained Graphs + + | ++ Manuel Madeira, Clément Vignac, D. Thanou, Pascal Frossard + | +2024-06-25 | +ArXiv | +0 | +20 | +
visibility_off | ++ Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling + + | ++ Bolin Liu, Maximilian Coblenz, Oliver Grothe + | +2024-05-31 | +Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems | +0 | +5 | +
visibility_off | ++ Transformers on Markov Data: Constant Depth Suffices + + | ++ Nived Rajaraman, Marco Bondaschi, K. Ramchandran, Michael C. Gastpar, Ashok Vardhan Makkuva + | +2024-07-25 | +ArXiv | +0 | +8 | +
visibility_off | ++ GenFollower: Enhancing Car-Following Prediction with Large Language Models + + | ++ Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng + | +2024-07-08 | +ArXiv | +1 | +4 | +
visibility_off | ++ STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis + + | ++ Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi + | +2024-06-27 | +ArXiv | +0 | +4 | +
visibility_off | ++ Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem + + | ++ Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen + | +2024-07-11 | +ArXiv | +1 | +2 | +
visibility_off | ++ MoCoformer: Quantifying Temporal Irregularities in Solar Wind for Long-Term Sequence Prediction + + | ++ Zheng Wang, Jiaodi Zhang, Meijun Sun + | +2024-05-31 | +Applied Sciences | +0 | +13 | +
visibility_off | ++ Research on load clustering algorithm based on variational autoencoder and hierarchical clustering + + | ++ Miaozhuang Cai, Yin Zheng, Zhengyang Peng, Chunyan Huang, Haoxia Jiang + | +2024-06-13 | +PLOS ONE | +0 | +1 | +
visibility_off | ++ A binary-domain recurrent-like architecture-based dynamic graph neural network + + | ++ Zi-chao Chen, Sui Lin + | +2024-06-25 | +Auton. Intell. Syst. | +0 | +0 | +
visibility_off | ++ On the Expressive Power of Spectral Invariant Graph Neural Networks + + | ++ Bohang Zhang, Lingxiao Zhao, Haggai Maron + | +2024-06-06 | +ArXiv | +0 | +23 | +
visibility_off | ++ Shale Gas Production Forecasting with Well Interference Based on Spatial-Temporal Graph Convolutional Network + + | ++ Ziming Xu, Juliana Y. Leung + | +2024-07-01 | +SPE Journal | +0 | +1 | +
visibility_off | ++ Explaining time series models using frequency masking + + | ++ Thea Brusch, Kristoffer Wickstrøm, Mikkel N. Schmidt, T. S. Alstrøm, Robert Jenssen + | +2024-06-19 | +ArXiv | +0 | +12 | +
visibility_off | ++ Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion + + | ++ Yinqiu Liu, Guangyuan Liu, Hongyang Du, D. Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, X. Shen + | +2024-06-20 | +ArXiv | +0 | +112 | +
visibility_off | ++ Adaptive predictive modeling with online learning: addressing data drift challenges in historical data for distributed inferencing + + | ++ Cleon Anderson, Scott E. Brown, David Harman, M. Dwyer + | +2024-06-07 | +None | +0 | +3 | +
visibility_off | ++ aeon: a Python toolkit for learning from time series + + | ++ Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony J. Bagnall + | +2024-06-20 | +ArXiv | +2 | +8 | +
visibility_off | ++ Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses + + | ++ Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, B. Ivanovic, Zhangyang Wang, Marco Pavone, H. Yang + | +2024-06-16 | +ArXiv | +0 | +20 | +
visibility_off | ++ Fredformer: Frequency Debiased Transformer for Time Series Forecasting + + | ++ Xihao Piao, Zheng Chen, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai + | +2024-06-13 | +ArXiv | +0 | +13 | +
visibility_off | ++ Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting + + | ++ Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang + | +2024-07-17 | +ArXiv | +0 | +8 | +
visibility_off | ++ Graph Neural Reaction Diffusion Models + + | ++ Moshe Eliasof, Eldad Haber, Eran Treister + | +2024-06-16 | +ArXiv | +1 | +15 | +
visibility_off | ++ Personalized Binomial DAGs Learning with Network Structured Covariates + + | ++ Boxin Zhao, Weishi Wang, Dingyuan Zhu, Ziqi Liu, Dong Wang, Zhiqiang Zhang, Jun Zhou, Mladen Kolar + | +2024-06-10 | +ArXiv | +0 | +12 | +
visibility_off | ++ Review of Open-Source Libraries for Solving Time Series Forecasting Problems + + | ++ E.A. Svekolnikova, V.N. Panovskiy + | +2024-07-01 | +Моделирование и анализ данных | +0 | +0 | +
visibility_off | ++ Spatiotemporal Dynamic Multi-Hop Network for Traffic Flow Forecasting + + | ++ Wenguang Chai, Qingfeng Luo, Zhizhe Lin, Jingwen Yan, Jinglin Zhou, Teng Zhou + | +2024-07-09 | +Sustainability | +0 | +11 | +
visibility_off | ++ SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings + + | ++ Barbora Barancikova, Zhuoyue Huang, Cristopher Salvi + | +2024-06-14 | +ArXiv | +0 | +1 | +
visibility_off | ++ Comparative Analysis of Recurrent Neural Network Models Performance in Predicting Bitcoin Prices + + | ++ Zidane Ikkoy Ramadhan, H. Widiputra + | +2024-06-21 | +Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) | +0 | +9 | +
visibility_off | ++ Trend Encoder with Attentive Neural Process: Node Performance Extrapolation for Non-Time-Series Datasets + + | ++ K. Hattori, Tomohiro Korikawa, Chikako Takasaki + | +2024-02-19 | +2024 International Conference on Computing, Networking and Communications (ICNC) | +0 | +6 | +
visibility_off | ++ Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction + + | ++ Christoph Jurgen Hemmer, Manuel Brenner, Florian Hess, Daniel Durstewitz + | +2024-06-07 | +ArXiv | +0 | +3 | +
visibility_off | ++ Aligning Transformers with Weisfeiler-Leman + + | ++ Luis Müller, Christopher Morris + | +2024-06-05 | +ArXiv | +0 | +1 | +
visibility_off | ++ Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models + + | ++ Kent Fujiwara, Mikihiro Tanaka, Qing Yu + | +2024-07-22 | +ArXiv | +0 | +1 | +
visibility_off | ++ USDC: A Dataset of User Stance and Dogmatism in Long Conversations + + | ++ Mounika Marreddy, S. Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek + | +2024-06-24 | +ArXiv | +0 | +9 | +
visibility_off | ++ Evaluating Recurrent Neural Networks for prediction of Multi- Variate time series VoIP metrics + + | ++ M. Mauro, G. Galatro, Fabio Postiglione, Wei Song, Antonio Liotta + | +2024-06-11 | +2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet) | +0 | +13 | +
visibility_off | ++ SIF-STGDAN: A Social Interaction Force Spatial-Temporal Graph Dynamic Attention Network for Decision-Making of Connected and Autonomous Vehicles + + | ++ Qi Liu, Yujie Tang, Xueyuan Li, Fan Yang, Xin Gao, Zirui Li + | +2024-06-02 | +2024 IEEE Intelligent Vehicles Symposium (IV) | +0 | +8 | +
visibility_off | ++ Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process + + | ++ Asha Choudhary, Matej Vuković, Belgin Mutlu, Michael Haslgrübler, R. Kern + | +2024-06-01 | +Sensors (Basel, Switzerland) | +0 | +7 | +
visibility_off | ++ Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning + + | ++ Bowen Zheng, Ming Ma, Zhongqiao Lin, Tianming Yang + | +2024-06-23 | +ArXiv | +0 | +4 | +
visibility_off | ++ Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder + + | ++ Parley R Yang, Alexander Y. Shestopaloff + | +2024-06-19 | +ArXiv | +0 | +7 | +
visibility_off | ++ Assessing and Forecasting TensorFlow Lite Model Execution Time in Different Platforms + + | ++ Henrikas Giedra, D. Matuzevičius + | +2024-05-31 | +2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) | +0 | +8 | +
visibility_off | ++ Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks + + | ++ Joel Oskarsson, Tomas Landelius, M. Deisenroth, Fredrik Lindsten + | +2024-06-07 | +ArXiv | +1 | +44 | +
visibility_off | ++ Exploiting Signal Propagation Delays to Match Task Memory Requirements in Reservoir Computing + + | ++ Stefan Iacob, J. Dambre + | +2024-06-01 | +Biomimetics | +0 | +35 | +
visibility_off | ++ Time-Series Embeddings from Language Models: A Tool for Wind Direction Nowcasting + + | ++ Décio Alves, Fábio Mendonça, S. Mostafa, F. Morgado‐Dias + | +2024-06-01 | +Journal of Meteorological Research | +0 | +17 | +
visibility_off | ++ Investigation of Time Series Data Augmentation Methods for Improving Deep Learning Models in Conveyor Belt Load Classification + + | ++ T. Žvirblis, Armantas Pikšrys, Damian Bzinkowski, A. Kilikevičius + | +2024-05-31 | +2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) | +0 | +12 | +
visibility_off | ++ Randomnet: clustering time series using untrained deep neural networks + + | ++ Xiaosheng Li, Wenjie Xi, Jessica Lin + | +2024-06-22 | +Data Mining and Knowledge Discovery | +0 | +5 | +
visibility_off | ++ Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders + + | ++ Josuan Calderon, Gordon J. Berman + | +2024-06-05 | +ArXiv | +0 | +1 | +
Abstract | +Title | +Authors | +Publication Date | +Journal/Conference | +Citation count | +Highest h-index | +
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+ * Copyright(c) 2015 Andreas Lubbe
+ * Copyright(c) 2015 Tiancheng "Timothy" Gu
+ * MIT Licensed
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