دنبال کردن
Chinmay Hegde
Chinmay Hegde
New York University
ایمیل تأیید شده در nyu.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Model-based compressive sensing‏
RG Baraniuk, V Cevher, MF Duarte, C Hegde‏
IEEE Transactions on information theory 56 (4), 1982-2001, 2010‏
21312010
Sparse signal recovery using markov random fields‏
V Cevher, C Hegde, MF Duarte, RG Baraniuk‏
Neural Information Processing Systems, 2009‏
2262009
Collaborative deep learning in fixed topology networks‏
Z Jiang, A Balu, C Hegde, S Sarkar‏
Neural Information Processing Systems, 2017‏
2152017
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
2052018
Random projections for manifold learning‏
C Hegde, MB Wakin, RG Baraniuk‏
Neural Information Processing Systems, 2007‏
1782007
An introduction to compressive sensing‏
R Baraniuk, MA Davenport, MF Duarte, C Hegde‏
Connexions e-textbook, 24-76, 2011‏
1622011
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, 76336-76369, 2023‏
1452023
On the computational complexity of self-attention‏
FD Keles, PM Wijewardena, C Hegde‏
International Conference on Algorithmic Learning Theory, 597-619, 2023‏
1332023
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
1302019
Recovery of clustered sparse signals from compressive measurements‏
V Cevher, P Indyk, C Hegde, RG Baraniuk‏
SampTA, 2009‏
1182009
A nearly-linear time framework for graph-structured sparsity‏
C Hegde, P Indyk, L Schmidt‏
International Conference on Machine Learning, 928-937, 2015‏
1172015
Algorithmic guarantees for inverse imaging with untrained network priors‏
G Jagatap, C Hegde‏
Neural Information Processing Systems, 2019‏
109*2019
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
1072015
Approximation algorithms for model-based compressive sensing‏
C Hegde, P Indyk, L Schmidt‏
IEEE Transactions on Information Theory 61 (9), 5129-5147, 2015‏
812015
Joint manifolds for data fusion‏
MA Davenport, C Hegde, MF Duarte, RG Baraniuk‏
Image Processing, IEEE Transactions on 19 (10), 2580-2594, 2010‏
812010
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents‏
XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar‏
AAAI, 2020‏
712020
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
672009
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
642015
Sampling and recovery of pulse streams‏
C Hegde, RG Baraniuk‏
Signal Processing, IEEE Transactions on 59 (4), 1505-1517, 2011‏
642011
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
582019
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20