Chinmay Hegde

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Richard BaraniukVictor E. Cameron Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.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
Soumik SarkarAssociate Professor, Iowa State UniversityVerified email at iastate.edu
Aswin C SankaranarayananAssociate Professor, ECE, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Gauri JagatapPhD Student, New York UniversityVerified email at nyu.edu
Mohammadreza SoltaniDuke UniversityVerified email at duke.edu
Mark A. DavenportAssociate Professor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Aditya BaluIowa State UniversityVerified email at iastate.edu
Ameya JoshiGraduate Research Assistant at New York UniversityVerified email at nyu.edu
Zhanhong JiangSenior AI Scientist at Johnson ControlsVerified email at jci.com
Michael B. WakinProfessor, Electrical Engineering, Colorado School of MinesVerified email at mines.edu
Baskar GanapathysubramanianIowa State UniversityVerified email at iastate.edu
Raymond K. W. WongTexas A&M UniversityVerified email at tamu.edu
Wotao YinProfessor of Mathematics, UCLAVerified email at ucla.edu
Thanh V. NguyenIowa State UniversityVerified email at iastate.edu
Minsu ChoGraduate Student, New York UniversityVerified email at nyu.edu
Namrata VaswaniProfessor, Iowa State UniversityVerified email at iastate.edu

Chinmay Hegde

Assistant Professor, 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	1834	2010
Sparse signal recovery using markov random fields V Cevher, C Hegde, MF Duarte, RG Baraniuk RICE UNIV HOUSTON TX DEPT OF ELECTRICAL AND COMPUTER ENGINEERING, 2009	213	2009
Random projections for manifold learning C Hegde, MB Wakin, RG Baraniuk Neural Information Processing Systems, 2007	150	2007
An introduction to compressive sensing R Baraniuk, MA Davenport, MF Duarte, C Hegde Connexions e-textbook, 24-76, 2011	123	2011
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk RICE UNIV HOUSTON TX DEPT OF ELECTRICAL AND COMPUTER ENGINEERING, 2009	108	2009
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	92	2018
A nearly-linear time framework for graph-structured sparsity C Hegde, P Indyk, L Schmidt International Conference on Machine Learning, 928-937, 2015	91	2015
Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar arXiv preprint arXiv:1706.07880, 2017	79	2017
Approximation algorithms for model-based compressive sensing C Hegde, P Indyk, L Schmidt IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015	69	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	65	2015
Numax: A convex approach for learning near-isometric linear embeddings C Hegde, AC Sankaranarayanan, W Yin, RG Baraniuk IEEE Transactions on Signal Processing 63 (22), 6109-6121, 2015	65	2015
Joint manifolds for data fusion MA Davenport, C Hegde, MF Duarte, RG Baraniuk Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010	64	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	60	2009
Sampling and recovery of pulse streams C Hegde, RG Baraniuk Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011	58	2011
Approximation-tolerant model-based compressive sensing C Hegde, P Indyk, L Schmidt Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	44	2014
Signal recovery on incoherent manifolds C Hegde, RG Baraniuk Information Theory, IEEE Transactions on 58 (12), 7204-7214, 2012	38	2012
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	36	2015
A fast approximation algorithm for tree-sparse recovery C Hegde, P Indyk, L Schmidt 2014 IEEE International Symposium on Information Theory, 1842-1846, 2014	36	2014
Fast, sample-efficient algorithms for structured phase retrieval G Jagatap, C Hegde Advances in Neural Information Processing Systems, 4917-4927, 2017	34	2017
Recovery of compressible signals in unions of subspaces MF Duarte, C Hegde, V Cevher, RG Baraniuk Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on …, 2009	30	2009

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