Articles with public access mandates - Chinmay HegdeLearn more
Available somewhere: 66
Collaborative deep learning in fixed topology networks
Z Jiang, A Balu, C Hegde, S Sarkar
Neural Information Processing Systems, 2017
Mandates: US National Science Foundation, US Department of Agriculture
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Algorithmic guarantees for inverse imaging with untrained network priors
G Jagatap, C Hegde
Neural Information Processing Systems, 2019
Mandates: US National Science Foundation
On the computational complexity of self-attention
FD Keles, PM Wijewardena, C Hegde
International Conference on Algorithmic Learning Theory, 597-619, 2023
Mandates: US Department of Agriculture
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
XY Lee, S Ghadai, KL Tan, C Hegde, S Sarkar
AAAI, 2020
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Department of Energy, UK Engineering and Physical Sciences Research Council
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
Mandates: US National Science Foundation, US Department of Defense
Sample-efficient algorithms for recovering structured signals from magnitude-only measurements
G Jagatap, C Hegde
IEEE Transactions on Information Theory, 2019
Mandates: US National Science Foundation
Cross-gradient aggregation for decentralized learning from non-iid data
Y Esfandiari, SY Tan, Z Jiang, A Balu, E Herron, C Hegde, S Sarkar
International conference on machine learning, 3036-3046, 2021
Mandates: US National Science Foundation
Freeway traffic incident detection from cameras: A semi-supervised learning approach
P Chakraborty, A Sharma, C Hegde
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Mandates: US National Science Foundation
Data-driven parallelizable traffic incident detection using spatio-temporally denoised robust thresholds
P Chakraborty, C Hegde, A Sharma
Transportation research part C: emerging technologies 105, 81-99, 2019
Mandates: US National Science Foundation, US Department of Defense
Fast Inverse Design of Microstructures via Generative Invariance Networks
XY Lee, J Waite, CH Yang, B Pokuri, A Joshi, A Balu, C Hegde, ...
Nature Computational Science, 2021
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Selective Network Linearization for Efficient Private Inference
M Cho, A Joshi, S Garg, B Reagen, C Hegde
ICML, 2022
Mandates: US National Science Foundation, US Department of Defense, US Department of …
Fast algorithms for demixing sparse signals from nonlinear observations
M Soltani, C Hegde
IEEE Transactions on Signal Processing 65 (16), 4209-4222, 2017
Mandates: US National Science Foundation
On the dynamics of gradient descent for autoencoders
TV Nguyen, RKW Wong, C Hegde
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandates: US National Science Foundation
Sample efficient fourier ptychography for structured data
G Jagatap, Z Chen, S Nayer, C Hegde, N Vaswani
IEEE Transactions on Computational Imaging 6, 344-357, 2019
Mandates: US National Science Foundation
Implicit sparse regularization: The impact of depth and early stopping
J Li, T Nguyen, C Hegde, KW Wong
Advances in Neural Information Processing Systems 34, 28298-28309, 2021
Mandates: US National Science Foundation
Phase retrieval using untrained neural network priors
G Jagatap, C Hegde
NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019
Mandates: US National Science Foundation
NURBS-diff: A differentiable programming module for NURBS
AD Prasad, A Balu, H Shah, S Sarkar, C Hegde, A Krishnamurthy
Computer-Aided Design 146, 103199, 2022
Mandates: US National Science Foundation, US Department of Energy
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