| Algorithmic guarantees for inverse imaging with untrained network priors G Jagatap, C Hegde Advances in Neural Information Processing Systems (NeurIPS), 2019 | 59 | 2019 |
| Fast, sample-efficient algorithms for structured phase retrieval G Jagatap, C Hegde Advances in Neural Information Processing Systems (NeurIPS), 4917-4927, 2017 | 50 | 2017 |
| Sample-efficient algorithms for recovering structured signals from magnitude-only measurements G Jagatap, C Hegde IEEE Transactions on Information Theory 65 (7), 4434-4456, 2019 | 41 | 2019 |
| 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 | 23 | 2019 |
| Sub-diffraction Imaging using Fourier Ptychography and Structured Sparsity G Jagatap, Z Chen, C Hegde, N Vaswani IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 17 | 2018 |
| Low rank Fourier ptychography Z Chen, G Jagatap, S Nayer, C Hegde, N Vaswani IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2018 | 16 | 2018 |
| Adversarially robust learning via entropic regularization G Jagatap, A Joshi, AB Chowdhury, S Garg, C Hegde ICML Workshop on Adversarial Machine Learning, 2021 | 14 | 2021 |
| Phase Retrieval using Untrained Neural Network Priors G Jagatap, C Hegde NeurIPS workshop on Solving Inverse Problems with Deep Networks, 2019 | 11 | 2019 |
| Adversarial token attacks on vision transformers A Joshi, G Jagatap, C Hegde IEEE CVPR Workshop on Transformers for Vision, 2021 | 10 | 2021 |
| Learning relu networks via alternating minimization G Jagatap, C Hegde IEEE International Symposium on Information Theory (ISIT), 2018 | 9 | 2018 |
| Provable compressed sensing with generative priors via Langevin dynamics TV Nguyen, G Jagatap, C Hegde arXiv preprint arXiv:2102.12643, 2021 | 6 | 2021 |
| High dynamic range imaging using deep image priors G Jagatap, C Hegde IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020 | 6 | 2020 |
| Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure G Jagatap, C Hegde IEEE International Symposium on Information Theory (ISIT), 2018 | 5 | 2018 |
| Model corrected low-rank ptychography G Jagatap, Z Chen, C Hegde, N Vaswani IEEE International Conference on Image Processing (ICIP), 2018 | 3 | 2018 |
| Inverse imaging with generative priors via Langevin dynamics TV Nguyen, G Jagatap, C Hegde ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Provable compressed sensing with generative priors via langevin dynamics TV Nguyen, G Jagatap, C Hegde IEEE Transactions on Information Theory, 2022 | 1 | 2022 |
| Can Deepfakes be created on a whim? P Mehta, G Jagatap, K Gallagher, B Timmerman, P Deb, S Garg, ... Companion Proceedings of the ACM Web Conference 2023, 1324-1334, 2023 | | 2023 |
| A Few Adversarial Tokens Can Break Vision Transformers A Joshi, SC Akula, G Jagatap, C Hegde IEEE CVPR Workshop on Adversarial Machine Learning on Computer Vision, 2023 | | 2023 |
| Sparse, Neural and Adversarial Constraints for Non-Convex Image Problems G Jagatap New York University Tandon School of Engineering, 2022 | | 2022 |
| Algorithmic Guarantees for Inverse Imaging with Untrained Neural Network Priors GB Jagatap, C Hegde Iowa State University MS, 2019 | | 2019 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
