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
Volkan CevherAssociate Professor, Laboratory for Information and Inference Systems, EPFLVerified email at epfl.ch
Piotr IndykProfessor of Electrical Engineering and Computer Science, MITVerified email at mit.edu
Ludwig SchmidtToyota Research and University of WashingtonVerified email at cs.washington.edu
Gauri JagatapDolby LaboratoriesVerified email at dolby.com
Aditya BaluIowa State UniversityVerified email at iastate.edu
Ameya JoshiGraduate Research Assistant at New York UniversityVerified email at nyu.edu
Aswin C SankaranarayananAssociate Professor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Mohammadreza Soltani3M/M*ModalVerified email at mmm.com
Baskar GanapathysubramanianIowa State UniversityVerified email at iastate.edu
Mark A. DavenportAssociate Professor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Zhanhong JiangSenior AI Scientist at Johnson ControlsVerified email at jci.com
Minsu ChoGraduate Student, New York UniversityVerified email at nyu.edu
Balaji PokuriIowa State UniversityVerified email at iastate.edu
Anuj SharmaIowa State UniversityVerified email at iastate.edu
Thanh V. NguyenApplied Scientist, AWS AI/MLVerified email at amazon.com
Pranamesh ChakrabortyAssistant Professor, IIT KanpurVerified email at iitk.ac.in
Salman AsifAssistant Professor, ECE, University of California, RiversideVerified email at ece.ucr.edu

Chinmay Hegde

Assistant Professor, 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	1930	2010
Sparse signal recovery using markov random fields V Cevher, C Hegde, MF Duarte, RG Baraniuk Neural Information Processing Systems, 2009	215	2009
Random projections for manifold learning C Hegde, MB Wakin, RG Baraniuk Neural Information Processing Systems, 2007	162	2007
An introduction to compressive sensing R Baraniuk, MA Davenport, MF Duarte, C Hegde Rice University, 2014	135	2014
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	127	2018
Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar Neural Information Processing Systems, 2017	117	2017
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk SampTA, 2009	109	2009
A nearly-linear time framework for graph-structured sparsity C Hegde, P Indyk, L Schmidt International Conference on Machine Learning, 928-937, 2015	99	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	73	2015
Approximation algorithms for model-based compressive sensing C Hegde, P Indyk, L Schmidt IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015	71	2015
Joint manifolds for data fusion MA Davenport, C Hegde, MF Duarte, RG Baraniuk Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010	70	2010
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	64	2009
Sampling and recovery of pulse streams C Hegde, RG Baraniuk Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011	60	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	45	2019
Approximation-tolerant model-based compressive sensing C Hegde, P Indyk, L Schmidt Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	45	2014
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	44	2015
Signal recovery on incoherent manifolds C Hegde, RG Baraniuk Information Theory, IEEE Transactions on 58 (12), 7204-7214, 2012	44	2012
Fast, sample-efficient algorithms for structured phase retrieval G Jagatap, C Hegde Advances in Neural Information Processing Systems, 4917-4927, 2017	43	2017
A fast approximation algorithm for tree-sparse recovery C Hegde, P Indyk, L Schmidt 2014 IEEE International Symposium on Information Theory, 1842-1846, 2014	40	2014
Algorithmic guarantees for inverse imaging with untrained network priors G Jagatap, C Hegde Neural Information Processing Systems, 2019	34	2019

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