Chinmay Hegde

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State UniversityVerified email at iastate.edu
Ameya JoshiResearch Scientist @ Instadeep Ltd.Verified email at nyu.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstVerified email at ecs.umass.edu
Aditya BaluIowa State UniversityVerified email at iastate.edu
Baskar GanapathysubramanianNSF/USDA AI Institute, Iowa State UniversityVerified email at iastate.edu
Gauri JagatapSenior Researcher, Dolby LaboratoriesVerified email at dolby.com
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
Ludwig SchmidtStanford University and AnthropicVerified email at cs.washington.edu
Piotr IndykProfessor of Electrical Engineering and Computer Science, MITVerified email at mit.edu
Minsu ChoSamsung Semiconductor IncVerified email at samsung.com
Mohammadreza SoltaniFidelity InvestmentsVerified email at fmr.com
Zhanhong JiangScientist at TrACVerified email at iastate.edu
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Thanh V. NguyenApplied Scientist, AWS AI/MLVerified email at amazon.com
Anuj SharmaIowa State UniversityVerified email at iastate.edu
Adarsh KrishnamurthyIowa State UniversityVerified email at iastate.edu
Mark A. DavenportProfessor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Balaji S Sarath PokuriIowa State UniversityVerified email at iastate.edu
Benjamin FeuerPh.D. Candidate, New York UniversityVerified email at nyu.edu

Chinmay Hegde

New York University

Verified email at nyu.edu - Homepage

Machine Learning Algorithms Signal Processing Materials Design Transportation


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Model-based compressive sensing RG Baraniuk, V Cevher, MF Duarte, C Hegde IEEE Transactions on information theory 56 (4), 1982-2001, 2010	2119	2010
Sparse signal recovery using markov random fields V Cevher, C Hegde, MF Duarte, RG Baraniuk Neural Information Processing Systems, 2009	226	2009
Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar Neural Information Processing Systems, 2017	208	2017
Solving linear inverse problems using gan priors: An algorithm with provable guarantees V Shah, C Hegde 2018 IEEE international conference on acoustics, speech and signal …, 2018	197	2018
Random projections for manifold learning C Hegde, MB Wakin, RG Baraniuk Neural Information Processing Systems, 2007	176	2007
An introduction to compressive sensing R Baraniuk, MA Davenport, MF Duarte, C Hegde Connexions e-textbook, 24-76, 2011	161	2011
Semantic adversarial attacks: Parametric transformations that fool deep classifiers A Joshi, A Mukherjee, S Sarkar, C Hegde Proceedings of the IEEE/CVF international conference on computer vision …, 2019	124	2019
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk SampTA, 2009	116	2009
A nearly-linear time framework for graph-structured sparsity C Hegde, P Indyk, L Schmidt International Conference on Machine Learning, 928-937, 2015	115	2015
NuMax: a convex approach for learning near-isometric linear embeddings C Hegde, AC Sankaranarayanan, W Yin, RG Baraniuk Signal Processing, IEEE Transactions on 63 (22), 6109-6121, 2015	109	2015
Algorithmic guarantees for inverse imaging with untrained network priors G Jagatap, C Hegde Neural Information Processing Systems, 2019	105*	2019
On the computational complexity of self-attention FD Keles, PM Wijewardena, C Hegde International Conference on Algorithmic Learning Theory, 597-619, 2023	94	2023
Joint manifolds for data fusion MA Davenport, C Hegde, MF Duarte, RG Baraniuk Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010	81	2010
Approximation algorithms for model-based compressive sensing C Hegde, P Indyk, L Schmidt IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015	77	2015
When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 2024	74	2024
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar AAAI, 2020	70	2020
Sampling and recovery of pulse streams C Hegde, RG Baraniuk Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011	65	2011
Compressive sensing recovery of spike trains using a structured sparsity model C Hegde, MF Duarte, V Cevher SPARS'09-Signal Processing with Adaptive Sparse Structured Representations, 2009	65	2009
Fast and near-optimal algorithms for approximating distributions by histograms J Acharya, I Diakonikolas, C Hegde, JZ Li, L Schmidt Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2015	62	2015
Fast, sample-efficient algorithms for structured phase retrieval G Jagatap, C Hegde Advances in Neural Information Processing Systems, 4917-4927, 2017	58	2017

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