Chinmay Hegde

Tractable Learning of Sparsely Used Dictionaries from Incomplete Samples

Thanh V. Nguyen, Akshay Soni, Chinmay Hegde, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

Adversarially Robust Learning via Entropic Regularization pdf

Chinmay Hegde, Siddharth Garg, Gauri Jagatap, 2020, ArXiv.

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing

Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

High Dynamic Range Imaging Using Deep Image Priors

Chinmay Hegde, Gauri Jagatap, C. Hegde, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Higher-order Moments in Adam pdf

Soumik Sarkar, Chinmay Hegde, Zhanhong Jiang, 2019, ArXiv.

ESPN: Extremely Sparse Pruned Networks pdf

Minsu Cho, Chinmay Hegde, Ameya Joshi, 2020, 2021 IEEE Data Science and Learning Workshop (DSLW).

Linearly Convergent Algorithms for Learning Shallow Residual Networks

Chinmay Hegde, Gauri Jagatap, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Trend Filtering in Network Time Series with Applications to Traffic Incident Detection

Pranamesh Chakraborty, Anuj Sharma, Chinmay Hegde, 2017 .

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models

Minsu Cho, Soumik Sarkar, Baskar Ganapathysubramanian, 2020, AAAI.

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery pdf

Minsu Cho, Chinmay Hegde, Mohammadreza Soltani, 2020, ArXiv.

Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis pdf

Chinmay Hegde, Raymond K. W. Wong, Thanh V. Nguyen, 2019, ArXiv.

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents pdf

Soumik Sarkar, Xian Yeow Lee, Chinmay Hegde, 2020, AAAI.

Sample Efficient Fourier Ptychography for Structured Data

Namrata Vaswani, Chinmay Hegde, Gauri Jagatap, 2020, IEEE Transactions on Computational Imaging.

Phase Retrieval using Untrained Neural Network Priors

Chinmay Hegde, Gauri Jagatap, C. Hegde, 2019 .

Surrogate-Based Constrained Langevin Sampling With Applications to Optimal Material Configuration Design

Youssef Mroueh, Giuseppe Romano, Chinmay Hegde, 2019 .

Fourier Phase Retrieval with Side Information Using Generative Prior

M. Salman Asif, Chinmay Hegde, Rakib Hyder, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models pdf

Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde, 2020, 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).

Improving Probe-Based Congestion Performance Metrics Accuracy by Using Change Point Detection

Neal Hawkins, Anuj Sharma, Chinmay Hegde, 2020, Journal of Big Data Analytics in Transportation.