Chinmay Hegde
Cited by
Cited by
Model-based compressive sensing
RG Baraniuk, V Cevher, MF Duarte, C Hegde
IEEE Transactions on information theory 56 (4), 1982-2001, 2010
Sparse signal recovery using markov random fields
V Cevher, C Hegde, MF Duarte, RG Baraniuk
Neural Information Processing Systems, 2009
Collaborative deep learning in fixed topology networks
Z Jiang, A Balu, C Hegde, S Sarkar
Neural Information Processing Systems, 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
Random projections for manifold learning
C Hegde, MB Wakin, RG Baraniuk
Neural Information Processing Systems, 2007
An introduction to compressive sensing
R Baraniuk, MA Davenport, MF Duarte, C Hegde
Connexions e-textbook, 24-76, 2011
Recovery of clustered sparse signals from compressive measurements
V Cevher, P Indyk, C Hegde, RG Baraniuk
SampTA, 2009
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
A nearly-linear time framework for graph-structured sparsity
C Hegde, P Indyk, L Schmidt
International Conference on Machine Learning, 928-937, 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
Joint manifolds for data fusion
MA Davenport, C Hegde, MF Duarte, RG Baraniuk
Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010
Algorithmic guarantees for inverse imaging with untrained network priors
G Jagatap, C Hegde
Neural Information Processing Systems, 2019
Approximation algorithms for model-based compressive sensing
C Hegde, P Indyk, L Schmidt
IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015
On the computational complexity of self-attention
FD Keles, PM Wijewardena, C Hegde
International Conference on Algorithmic Learning Theory, 597-619, 2023
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
Sampling and recovery of pulse streams
C Hegde, RG Baraniuk
Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar
AAAI, 2020
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
Fast, sample-efficient algorithms for structured phase retrieval
G Jagatap, C Hegde
Advances in Neural Information Processing Systems, 4917-4927, 2017
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
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