Skip to content

IDEAS scientific achievements

Notifications You must be signed in to change notification settings

ideas-ncbr/publications_2024

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

49 Commits
 
 

Repository files navigation

2024 Paper Title Authors Conference/Journal Name Paper Link Code Link
1 "Shortest Disjoint Paths on a Grid" Mathieu Mari, Anish Mukherjee, Piotr Sankowski ACM-SIAM Symposium on Discrete Algorithms (SODA 24)
2 "Exact Shortest Paths with Rational Weights on the Word RAM" Adam Karczmarz, Wojciech Nadara, Marek Sokołowski ACM-SIAM Symposium on Discrete Algorithms (SODA 24) Link
3 "Max-s,t-Flow Oracles and Negative Cycle Detection in Planar Digraphs" Adam Karczmarz ACM-SIAM Symposium on Discrete Algorithms (SODA 24) Link
4 "Divide and not forget: Ensemble of selectively trained experts in Continual Learning" Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzciński, Bartosz Zieliński, Bartłomiej Twardowski International Conference on Learning Representations (ICLR 24) Link Link
5 "From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation" Shahriar Ebrahimi, Parisa Hassanizadeh The Network and Distributed System Security (NDSS 24) Link Link
6 "Magnushammer: A Transformer-Based Approach to Premise Selection" Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu International Conference on Learning Representations (ICLR 24) Link
7 "Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning" Dipam Goswami, Albin Soutif Cormerais, Yuyang Liu, Sandesh Kamath, Bartłomiej Twardowski, Joost van de Weijer IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
8 "Scaling Laws for Fine-Grained Mixture of Experts" Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michał Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur ICLR 2024, ICML Link
9 "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" Maciej Pióro, Kamil Ciebiera, Krystian Król, Jan Ludziejewski, Michał Krutul, Jakub Krajewski, Szymon Antoniak, Piotr Miłoś, Marek Cygan, Sebastian Jaszczur ICLR 2024 Link
10 "Online Multi-level Aggregation with Delays and Stochastic Arrivals" Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski AAMAS Link
11 "General Markov Model for Solving Patrolling Games" Andrzej Nagórko, Marcin Waniek, Małgorzata Róg, Michał Godziszewski, Barbara Rosiak, Tomasz P. Michalak 40th Conference on Uncertainty in Artificial Intelligence 2024 (UAI 2024)
12 "Animated Ink Bleeding with Computational Fluid Dynamics" Grzegorz Gruszczynski, Mateusz Tokarz, Przemyslaw Musialski ACM SIGGRAPH 2024 Posters
13 "Neuro-Symbolic Transformation of Architectural Facades into Their Procedural Representations" Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski ACM SIGGRAPH 2024 Posters
14 "NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering" Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Maciej Zięba, Przemysław Spurek Conference name: 24th International Conference on Computational Science (ICCS 2024) Link
15 "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" Przemysław Spurek, Sebastian Winczowski, Maciej Zięba, Tomasz Trzciński, Kacper Kania, Marcin Mazur Conference name: 24th International Conference on Computational Science (ICCS 2024) Link
16 "Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning" Michal Nauman, Michał Bortkiewicz, Mateusz Ostaszewski, Piotr Miłoś, Tomasz Trzciński, Marek Cygan ICML Link
17 "A deep cut into Split Federated Self-supervised Learning" Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek Śmieja ECML PKDD 2024 Link Link
18 "AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale" Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, Bartosz Zieliński ECCV 2024 Link Link
19 "Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization" Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor ICML 2024 Link
20 "General Markov Model for Solving Patrolling Games" Andrzej Nagórko, Michał Tomasz Godziszewski, Marcin Waniek, Barbara Rosiak, Małgorzata Róg, Tomasz Paweł Michalak UAI 2024 Link
21 "Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks" Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Michalak 7TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 19-24 OCTOBER 2024 Santiago de Compostela Link
22 "HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks" Marcin Przewięźlikowski, Przemysław Przybysz, Jacek Tabor, Maciej Zięba, Przemysław Spurek Neurocomputing arXiv / Link Link
23 "Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery" Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski The European Conference on Computer Vision (ECCV 2024) Link Link
24 "Revisiting Supervision for Continual Representation Learning" Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski ECCV 2024 Link Link
25 "MagMax: Leveraging Model Merging for Seamless Continual Learning" Daniel Marczak, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert ECCV 2024 Link Link
26 "Exemplar-free Continual Representation Learning via Learnable Drift Compensation" Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer ECCV 2024 Link
27 "Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem" Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś ICML 2024 Link Link
28 "Universal Optimization for Non-Clairvoyant Subadditive Joint Replenishment" Tomer Ezra, Stefano Leonardi, Michał Pawłowski, Matteo Russo, Seeun William Umboh APPROX 2024 Link
29 "Machine Learning-assisted Detection of Breast Arterial Calcifications" Aleksandra Osowska-Kurczab, Daan van den Oever, Ioannis Sechopoulos MICCAI 2024
30 "AR-TTA: A Simple Method for Real World Continual Test-Time Adaptation" Damian Sójka, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert BMVC 2024
31 "FaçAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction" Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski SIGGRAPH ASIA 2024 Link
32 "Online Multi-level Aggregation with Delays and Stochastic Arrivals" Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski ISAAC 2024 Link
33 "Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion" Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane NeurIPS 2024 Link
34 "Let Me DeCode You: Decoder Conditioning with Tabular Data" Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka, Arleta Adamowicz, Piotr Fudalej, Przemysław Korzeniowski, Tomasz Trzciński, Arkadiusz Sitek MICCAI 2024 Link Link
35 "Neural network interatomic potentials for open surface nano-mechanics application" Amirhossein D. Naghdi, Franco Pellegrini, Emine Küçükbenli, Dario Massa, F. Javier Dominguez–Gutierrez, Efthimios Kaxiras, Stefanos Papanikolaou Acta Materialia journal Link
36 "Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning" Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski NeurIPS 2024 Link Link