Chinmay Hegde

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Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityDirección de correo verificada de rice.edu
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State UniversityDirección de correo verificada de iastate.edu
Ameya JoshiResearch Scientist @ Instadeep Ltd.Dirección de correo verificada de nyu.edu
Aditya BaluIowa State UniversityDirección de correo verificada de iastate.edu
Marco F. DuarteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstDirección de correo verificada de ecs.umass.edu
Baskar GanapathysubramanianNSF/USDA AI Institute, Iowa State UniversityDirección de correo verificada de iastate.edu
Gauri JagatapSenior Researcher, Dolby LaboratoriesDirección de correo verificada de dolby.com
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).Dirección de correo verificada de epfl.ch
Ludwig SchmidtStanford University and AnthropicDirección de correo verificada de cs.washington.edu
Piotr IndykProfessor of Electrical Engineering and Computer Science, MITDirección de correo verificada de mit.edu
Minsu ChoSamsung Semiconductor IncDirección de correo verificada de samsung.com
Zhanhong JiangScientist at TrACDirección de correo verificada de iastate.edu
Mohammadreza SoltaniFidelity InvestmentsDirección de correo verificada de fmr.com
Aswin C SankaranarayananProfessor, ECE, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Thanh V. NguyenApplied Scientist, AWS AI/MLDirección de correo verificada de amazon.com
Adarsh KrishnamurthyIowa State UniversityDirección de correo verificada de iastate.edu
Anuj SharmaIowa State UniversityDirección de correo verificada de iastate.edu
Mark A. DavenportProfessor of Electrical & Computer Engineering, Georgia Institute of TechnologyDirección de correo verificada de gatech.edu
Balaji S Sarath PokuriIowa State UniversityDirección de correo verificada de iastate.edu
Benjamin FeuerPh.D. Candidate, New York UniversityDirección de correo verificada de nyu.edu

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Chinmay Hegde

New York University

Dirección de correo verificada de nyu.edu - Página principal

Machine Learning Algorithms Signal Processing Materials Design Transportation


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Model-based compressive sensing RG Baraniuk, V Cevher, MF Duarte, C Hegde IEEE Transactions on information theory 56 (4), 1982-2001, 2010	2120	2010
Sparse signal recovery using markov random fields V Cevher, C Hegde, MF Duarte, RG Baraniuk Neural Information Processing Systems, 2009	225	2009
Collaborative deep learning in fixed topology networks Z Jiang, A Balu, C Hegde, S Sarkar Neural Information Processing Systems, 2017	209	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	200	2018
Random projections for manifold learning C Hegde, MB Wakin, RG Baraniuk Neural Information Processing Systems, 2007	177	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	125	2019
A nearly-linear time framework for graph-structured sparsity C Hegde, P Indyk, L Schmidt International Conference on Machine Learning, 928-937, 2015	116	2015
Recovery of clustered sparse signals from compressive measurements V Cevher, P Indyk, C Hegde, RG Baraniuk SampTA, 2009	116	2009
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	106*	2019
On the computational complexity of self-attention FD Keles, PM Wijewardena, C Hegde International Conference on Algorithmic Learning Theory, 597-619, 2023	96	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
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	79	2024
Approximation algorithms for model-based compressive sensing C Hegde, P Indyk, L Schmidt IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015	78	2015
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar AAAI, 2020	70	2020
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	66	2009
Sampling and recovery of pulse streams C Hegde, RG Baraniuk Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011	65	2011
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	63	2015
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	58	2019

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