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# jemdoc: menu{MENU}{index.html}
= Gaurav Gupta
~~~
{}{img_left}{pics\img_main.jpg}{150px}{160px}{}{}
Senior Scientist, AWS-AI \n
PhD, University of Southern California \n
[docs/dissertation.pdf PhD Thesis]
=== Contact
{{email: <img class="eq" src="pics/email2.png" alt="ggaurav" style="vertical-align: -4px" /><br />
<img class="eq" src="pics/email1.png" alt="gaurav71531" style="vertical-align: -4px" /> <br />}}
~~~
== Research Interests
- sequence models, learning partial differential equations
- Applications of Information theory in machine learning and inference
- Fractional dynamics and long-range memory
- Modeling and Analysis of physiological signals (e.g. EEG, neuron spike events)
== Featured
- See our Multiwavelets-based approach to efficiently learn the Operator maps
~~~
{}{img_left}{pics/mwtMain.png}{alt text}{250px}{120px}{}
/Gaurav Gupta/, Xiongye Xiao, and [https://cps.usc.edu Paul Bogdan]\n
*Multiwavelet-based Operator Learning for Differential Equations*\n
In NeurIPS: Proceedings of the 34th Neural Information Processing Systems Conference, \n
December 2021. *Spotlight*\n
[https://openreview.net/forum?id=LZDiWaC9CGL \[link]][https://arxiv.org/abs/2109.13459 \[arXiv]] [https://github.com/gaurav71531/mwt-operator \[code]]\n
~~~
\n
- Check out our novel *``particles''* approach to extract the network topological information from a single node
~~~
{}{img_left}{pics/npp1.gif}{alt text}{250px}{150px}{}
/Gaurav Gupta/, [https://rhodeslab.beckman.illinois.edu/ Justin Rhodes], [https://www.cns.nyu.edu/kianilab Roozbeh Kiani], and [https://cps.usc.edu Paul Bogdan] \n
*Neuron particles capture network topology and behavior from single units* \n
[https://www.biorxiv.org/content/10.1101/2021.12.03.471160v1 \[preprint]]
~~~
== Publications
=== Journals
- Chenzhong Yin, Mihai Udrescu, /Gaurav Gupta/, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, [https://cps.usc.edu Paul Bogdan], David M. Mannino, and Stefan Mihaicuta \n
*Fractional Dynamics Foster Deep Learning of COPD Stage Prediction* [https://onlinelibrary.wiley.com/share/XPRZASCNUS6XDF7PZFCP?target=10.1002/advs.202203485 \[link]] \n
Advanced Science 2023
- /Gaurav Gupta/, [http://meghanak.net/ Meghana Kshirsagar], [https://www.microsoft.com/en-us/research/people/mizhong/ Ming Zhong], [https://www.shahrzadgholami.com/ Shahrzad Gholami], and [https://www.microsoft.com/en-us/research/people/jlavista/ Juan Lavista Ferres] \n
*Comparing Recurrent Convolutional Neural Networks for large scale Bird species classification* [https://www.nature.com/articles/s41598-021-96446-w \[link]] [https://github.com/microsoft/bird-acoustics-rcnn \[code]]\n
Nature Scientific Reports 11, (2021)
- Mohamed Ridha Znaidi\*, /Gaurav Gupta/\*, Kamiar Asgari, and [https://cps.usc.edu Paul Bogdan] \n
*Identifying Arguments of Space-Time Fractional Diffusion: Data-driven Approach* [https://www.frontiersin.org/articles/10.3389/fams.2020.00014 \[link]] [https://github.com/gaurav71531/fractDiffusion \[code]]\n
Frontiers in Applied Mathematics and Statistics, May 2020 \n
(\* equal contribution authors)
- /Gaurav Gupta/, [http://www.spequito.com Sergio Pequito], and [https://cps.usc.edu Paul Bogdan] \n
*Approximate submodular functions and performance guarantees* [https://arxiv.org/abs/1806.06323 \[arXiv]]\n
under review Journal of Machine Learning Research (JMLR)
- Valeriu Balaban, Sean Lim, /Gaurav Gupta/, James Boedicker, and [https://cps.usc.edu Paul Bogdan] \n
*Quantifying emergence and self-organisation of Enterobacter cloacae microbial communities* [https://www.nature.com/articles/s41598-018-30654-9 \[link]]\n
Nature Scientific reports 8, 2018
- /Gaurav Gupta/ and [http://home.iitk.ac.in/~akc A.K. Chaturvedi] \n
*User Selection in MIMO Interfering Broadcast Channels* [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6783950 \[link]] [https://arxiv.org/abs/1310.7425 \[arXiv]] [https://github.com/gaurav71531/mimoIC \[code]]\n
IEEE transactions on Communications, vol. 62, no. 5, pp. 1568-1576, Apr. 2014
- /Gaurav Gupta/ and [http://home.iitk.ac.in/~akc A.K. Chaturvedi] \n
*Conditional Entropy based User Selection for Multiuser MIMO systems* [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6559975 \[link]] [https://arxiv.org/abs/1310.7852 \[arXiv]] [https://github.com/gaurav71531/condEnt \[code]]\n
IEEE Communications Letters, vol. 17, no. 8, pp. 1628-1631, Aug. 2013
=== Conference
- Tao Yu, /Gaurav Gupta/, Karthick Gopalswamy, Amith Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, and Jun Huan \n
*Collage: Light-Weight Low-Precision Strategy for LLM Training* [https://arxiv.org/abs/2405.03637 \[arXiv]]\n
in ICML: 41th International Conference on Machine Learning, July 2024.
- Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, /Gaurav Gupta/, Dhananjay Ram, Yida Wang, Jun Huan \n
*HLAT: High-quality Large Language Model Pre-trained on AWS Trainium* [https://arxiv.org/abs/2404.10630 \[arXiv]]\n
in 2024 IEEE International Conference on Big Data, Dec 2024.
- S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, /Gaurav Gupta/, Andrew Stuart, Michael W. Mahoney, and Yuyang Wang \n
*Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs* [https://arxiv.org/abs/2403.10642 \[arXiv]]\n
in ICML: 41th International Conference on Machine Learning, July 2024.
- Derek Hansen, Danielle C. Maddix, Shima Alizadeh, /Gaurav Gupta/, Michael W. Mahoney \n
*Learning Physical Models that Can Respect Conservation Laws* [https://arxiv.org/abs/2302.11002 \[arXiv]]\n
in ICML: 40th International Conference on Machine Learning, July 2023.
- Hilaf Hasson, Danielle C. Maddix, Bernie Wang, /Gaurav Gupta/, Youngsuk Park \n
*Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting* [https://arxiv.org/abs/2305.15786 \[arXiv]]\n
in ICML: 40th International Conference on Machine Learning, July 2023.
- Nadim Saad\*, /Gaurav Gupta/\*, Shima Alizadeh, and Danielle C Maddix \n
*Guiding continuous operator learning through Physics-based boundary constraints* [https://openreview.net/forum?id=gfWNItGOES6 \[link]] \n
In ICLR: 11th International Conference on Learning Representations, April 2023. \n
(\* equal contribution authors)
- Xiongye Xiao, Defu Cao, Ruochen Yang, /Gaurav Gupta/, Chenzhong Yin, Gengshuo Liu, Radu Balan, and Paul Bogdan \n
*Coupled Multiwavelet Operator Learning for Coupled Differential Equations* [https://openreview.net/forum?id=kIo_C6QmMOM \[link]] \n
in ICLR: 11th International Conference on Learning Representations, April 2023.
- Mohamed Ridha Znaidi\*, /Gaurav Gupta/\*, and [https://cps.usc.edu Paul Bogdan] \n
*Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System* [https://arxiv.org/abs/2205.04855 \[arXiv]]\n
in IEEE International Symposium on Information Theory (ISIT) 2022 \n
(\* equal contribution authors)
- /Gaurav Gupta/, Xiongye Xiao, [http://www.math.umd.edu/~rvbalan Radu Balan], and [https://cps.usc.edu Paul Bogdan] \n
*Non-Linear Operator Approximations for Initial Value Problems* [https://openreview.net/forum?id=d2TT6gK9qZn \[link]]\n
In ICLR: 10th International Conference on Learning Representations, April 2022.\n
- /Gaurav Gupta/, Xiongye Xiao, and [https://cps.usc.edu Paul Bogdan] \n
*Multiwavelet-based Operator Learning for Differential Equations* [https://arxiv.org/abs/2109.13459 \[arXiv]] [https://github.com/gaurav71531/mwt-operator \[code]]\n
In NeurIPS: Proceedings of the 34th Neural Information Processing Systems Conference, December 2021. *Spotlight*\n
- /Gaurav Gupta/, Chenzhong Yin, [https://jdeshmukh.github.io/ Jyotirmoy Deshmukh], and [https://cps.usc.edu Paul Bogdan] \n
*Non-Markovian Reinforcement Learning using Fractional Dynamics* [https://ieeexplore.ieee.org/document/9683076 \[link]] [https://arxiv.org/abs/2107.13790 \[arXiv]]\n
In the Proceedings of IEEE Conference on Decision and Control (CDC) 2021
- Chenzhong Yin, /Gaurav Gupta/, and [https://cps.usc.edu Paul Bogdan] \n
*Discovering laws from the Observations: A Data-driven Approach* \n
Dynamic Data Driven Applications Systems (DDDAS) 2020
- /Gaurav Gupta/, [https://anitksahu.github.io/ Anit Kumar Sahu], and Wan-Yi Lin \n
*Noisy Batch Active Learning with Deterministic Annealing* [https://arxiv.org/abs/1909.12473 \[arXiv]] [https://github.com/gaurav71531/DeAn \[code]]
- /Gaurav Gupta/, [http://www.spequito.com Sergio Pequito] and [https://cps.usc.edu Paul Bogdan] \n
*Learning latent Fractional dynamics with Unknown Unknowns* [https://ieeexplore.ieee.org/document/8815074 \[link]] [https://arxiv.org/abs/1811.00703 \[arXiv]] [https://github.com/gaurav71531/hiddenState \[code]]\n
Proceedings of the 2019 American Control Conference
- Ruochen Yang\*, /Gaurav Gupta/\* and [https://cps.usc.edu Paul Bogdan] \n
*Data-driven Perception of Neuron Point Process with Unknown Unknowns* [https://dl.acm.org/doi/10.1145/3302509.3311056 \[link]] [https://arxiv.org/abs/1811.00688 \[arXiv]] [https://github.com/gaurav71531/spikeNetwork \[code]]\n
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems \n (ICCPS), Cyber-Physical Systems Week, Montreal, Quebec, Canada — April 16 - 18, 2019 \n
(\* equal contribution authors)
- /Gaurav Gupta/, [http://www.spequito.com Sergio Pequito] and [https://cps.usc.edu Paul Bogdan] \n
*Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis* [https://dl.acm.org/citation.cfm?id=3207896.3207928 \[link]] [https://arxiv.org/abs/1803.10318 \[arXiv]]\n
Proceedings of the 2018 ACM/IEEE International Conference on Cyber-Physical Systems \n (ICCPS), Cyber-Physical Systems Week, Porto, Portugal, April 2018
- /Gaurav Gupta/, [http://www.spequito.com Sergio Pequito] and [https://cps.usc.edu Paul Bogdan] \n
*Dealing with unknown unknowns: Identification and selection of minimal sensing \n for fractional dynamics with unknown inputs* [https://ieeexplore.ieee.org/document/8430866 \[link]] [https://arxiv.org/abs/1803.04866 \[arXiv]] [https://github.com/gaurav71531/UUknowns \[code]] \n
Proceedings of the 2018 American Control Conference, Milwaukee, USA, June 27-29, 2018
- /Gaurav Gupta/ and [https://cps.usc.edu Paul Bogdan] \n
*Distributed Placement of Power Generation Resources in Uncertain Environments* [https://ieeexplore.ieee.org/document/7944993/ \[link]] [https://github.com/gaurav71531/ror \[code]]\n
Proceedings of the 2017 ACM/IEEE International Conference on Cyber-Physical Systems \n (ICCPS), Cyber-Physical Systems Week, Pittsburgh, USA, pp. 71-79, April 2017
- /Gaurav Gupta/ and [http://home.iitk.ac.in/~akc A.K. Chaturvedi] \n
*User Selection in MIMO Interfering Broadcast Channels* (Invited paper)[docs/IFBC_V4.pdf \[talk]] \n
SPCOM-2014
=== Patents
- Gaurav Gupta, Anit Kumar Sahu, Wan-Yi Lin, and Joseph Szurley \n
*Training a Machine Learning Model Using a Batch Based Active Learning Approach* \n
U.S. Patent
- Kapil Gulati, /Gaurav Gupta/, Shailesh Patil and Marco Papaleo \n
*Congestion Control for LTE-V2V*, U.S. Patent Application No. 15/585,782, May 3 2017
- Kapil Gulati, /Gaurav Gupta/, Shailesh Patil and Marco Papaleo\n
*Congestion Control for LTE-V2V*, U.S. Patent Application No. 15/585,635, May 3 2017
- Kapil Gulati, /Gaurav Gupta/, Shailesh Patil, Durga Prasad Malladi, Sudhir Kumar Baghel and Marco Papaleo \n
*Multi-Technology Coexistence in the unlicensed intelligent transportation service spectrum*, \n U.S. Patent Application No. 15/644,378, July 7 2017
- Shailesh Patil, Kapil Gulati and /Gaurav Gupta/ \n
*Detection of Technologies for Coexistence*, U.S. Patent Application No. 15/617,765, June 8 2017
- Kapil Gulati, Shailesh Patil, /Gaurav Gupta/, Sudhir Kumar Baghel and Marco Papaleo \n
*DSRC-LTE V2V Co-Channel Long Term Coexistence*, U.S. Patent Application No. 15/465,877, Mar 22 2017
=== Technical Reports
- /Gaurav Gupta/ and S.A. Jafar \n
*Topological Interference Management and frequency hopping* [docs/Freq_hopp.pdf \[pdf]]
- /Gaurav Gupta/ and S.A. Jafar \n
*Degrees of freedom in rank deficient channels* [docs/rank_def.pdf \[pdf]]
- /Gaurav Gupta/ and [http://home.iitk.ac.in/~akc A.K. Chaturvedi] \n
*Low complexity user/antenna selection in MU-MIMO channels* [docs/BTP_Report1.pdf \[pdf]]
- /Gaurav Gupta/, Shiv Prakash and [http://home.iitk.ac.in/~arh A.R. Harish] \n
*RFID Assets Tracking System* [docs/RFID_report.pdf \[pdf]]\n
- /Gaurav Gupta/ and Mayank Bhardwaj \n
*Interference Alignment Schemes for MIMO Channels* [docs/Report.pdf \[pdf]]