Chinmay Hegde

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Soumik SarkarAssociate Professor, Iowa State UniversityVerified email at iastate.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstVerified email at ecs.umass.edu
Ameya JoshiPhd Candidate at New York UniversityVerified email at nyu.edu
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
Piotr IndykProfessor of Electrical Engineering and Computer Science, MITVerified email at mit.edu
Ludwig SchmidtUniversity of Washington and Allen Institute for AIVerified email at cs.washington.edu
Gauri JagatapResearcher, Dolby LaboratoriesVerified email at dolby.com
Aditya BaluIowa State UniversityVerified email at iastate.edu
Baskar GanapathysubramanianIowa State UniversityVerified email at iastate.edu
Mohammadreza SoltaniFidelity InvestmentsVerified email at fmr.com
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Zhanhong JiangSenior AI Scientist at Johnson ControlsVerified email at jci.com
Mark A. DavenportAssociate Professor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Minsu ChoSamsung Semiconductor IncVerified email at samsung.com
Thanh V. NguyenApplied Scientist, AWS AI/MLVerified email at amazon.com
Balaji S Sarath PokuriIowa State UniversityVerified email at iastate.edu
Anuj SharmaIowa State UniversityVerified email at iastate.edu
Xian Yeow LeeHitachi AmericaVerified email at hal.hitachi.com
Raymond K. W. WongTexas A&M UniversityVerified email at tamu.edu

Chinmay Hegde

New York University

Verified email at nyu.edu - Homepage

Machine Learning Algorithms Signal Processing Materials Design Transportation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Model-based compressive sensing RG Baraniuk, V Cevher, MF Duarte, C Hegde IEEE Transactions on information theory 56 (4), 1982-2001, 2010	1996	2010
Sparse signal recovery using markov random fields V Cevher, C Hegde, MF Duarte, RG Baraniuk Neural Information Processing Systems, 2009	218	2009
Random projections for manifold learning C Hegde, MB Wakin, RG Baraniuk Neural Information Processing Systems, 2007	170	2007
Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar Neural Information Processing Systems, 2017	164	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	163	2018
An introduction to compressive sensing R Baraniuk, MA Davenport, MF Duarte, C Hegde Rice University, 2014	150	2014
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk SampTA, 2009	112	2009
A nearly-linear time framework for graph-structured sparsity C Hegde, P Indyk, L Schmidt International Conference on Machine Learning, 928-937, 2015	107	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	104	2015
Joint manifolds for data fusion MA Davenport, C Hegde, MF Duarte, RG Baraniuk Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010	77	2010
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	76	2019
Approximation algorithms for model-based compressive sensing C Hegde, P Indyk, L Schmidt IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015	74	2015
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	67	2009
Sampling and recovery of pulse streams C Hegde, RG Baraniuk Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011	63	2011
Algorithmic guarantees for inverse imaging with untrained network priors G Jagatap, C Hegde Neural Information Processing Systems, 2019	59	2019
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	54	2015
Fast, sample-efficient algorithms for structured phase retrieval G Jagatap, C Hegde Advances in Neural Information Processing Systems, 4917-4927, 2017	50	2017
Signal recovery on incoherent manifolds C Hegde, RG Baraniuk Information Theory, IEEE Transactions on 58 (12), 7204-7214, 2012	48	2012
Approximation-tolerant model-based compressive sensing C Hegde, P Indyk, L Schmidt Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	47	2014
Alternating phase projected gradient descent with generative priors for solving compressive phase retrieval R Hyder, V Shah, C Hegde, MS Asif ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	44	2019

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