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Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models


May 13, 2021
Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde

* arXiv admin note: text overlap with arXiv:1810.03587, arXiv:1802.08406 

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Distributed Multigrid Neural Solvers on Megavoxel Domains


Apr 29, 2021
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian


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Cross-Gradient Aggregation for Decentralized Learning from Non-IID data


Mar 02, 2021
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar


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Provable Compressed Sensing with Generative Priors via Langevin Dynamics


Feb 25, 2021
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde


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Adversarially Robust Learning via Entropic Regularization


Aug 27, 2020
Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde


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


Jul 24, 2020
Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

* 10 pages, 18 figures 

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Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery


Jul 07, 2020
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde

* arXiv admin note: text overlap with arXiv:1906.02869 

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ESPN: Extremely Sparse Pruned Networks


Jun 28, 2020
Minsu Cho, Ameya Joshi, Chinmay Hegde


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


Nov 27, 2019
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde


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On Higher-order Moments in Adam


Oct 15, 2019
Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M Lee, Chinmay Hegde, Soumik Sarkar

* Accepted in Beyond First Order Methods in Machine Learning workshop in 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents


Sep 05, 2019
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar


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Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors


Jun 20, 2019
Gauri Jagatap, Chinmay Hegde


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One-Shot Neural Architecture Search via Compressive Sensing


Jun 07, 2019
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde

* Preprint 

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Encoding Invariances in Deep Generative Models


Jun 04, 2019
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde


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Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity


Apr 24, 2019
Minsu Cho, Chinmay Hegde

* Published at ICASSP 2019 

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Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers


Apr 17, 2019
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde


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A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations


Apr 11, 2019
Chinmay Hegde, Fritz Keinert, Eric S. Weber


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Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval


Mar 07, 2019
Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif

* Published in ICASSP 2019 

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Signal Reconstruction from Modulo Observations


Dec 03, 2018
Viraj Shah, Chinmay Hegde


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Physics-aware Deep Generative Models for Creating Synthetic Microstructures


Nov 21, 2018
Rahul Singh, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde


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Learning ReLU Networks via Alternating Minimization


Oct 10, 2018
Gauri Jagatap, Chinmay Hegde


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Algorithmic Aspects of Inverse Problems Using Generative Models


Oct 08, 2018
Chinmay Hegde


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Autoencoders Learn Generative Linear Models


Jun 02, 2018
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde

* 19 pages 

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On Consensus-Optimality Trade-offs in Collaborative Deep Learning


May 30, 2018
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar


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On Learning Sparsely Used Dictionaries from Incomplete Samples


Apr 24, 2018
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde


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Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees


Feb 23, 2018
Viraj Shah, Chinmay Hegde


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Provably Accurate Double-Sparse Coding


Dec 12, 2017
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde

* 40 pages. An abbreviated conference version appears at AAAI 2018 

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Fast Low-Rank Matrix Estimation without the Condition Number


Dec 08, 2017
Mohammadreza Soltani, Chinmay Hegde


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Sample-Efficient Algorithms for Recovering Structured Signals from Magnitude-Only Measurements


Nov 26, 2017
Gauri Jagatap, Chinmay Hegde


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A Forward-Backward Approach for Visualizing Information Flow in Deep Networks


Nov 16, 2017
Aditya Balu, Thanh V. Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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