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ORCIDGauri Jagatap
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2020 – today
- 2023
[c10]Pulak Mehta
, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can Deepfakes be created on a whim? WWW (Companion Volume) 2023: 1324-1334- [i7]Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can deepfakes be created by novice users? CoRR abs/2304.14576 (2023) - 2022
- [j4]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68(11): 7410-7422 (2022) - [c9]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP 2022: 8672-8676 - 2021
- [j3]Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - [i6]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR abs/2102.12643 (2021) - [i5]Ameya Joshi, Gauri Jagatap, Chinmay Hegde:
Adversarial Token Attacks on Vision Transformers. CoRR abs/2110.04337 (2021) - 2020
- [j2]Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani:
Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging 6: 344-357 (2020) - [c8]Gauri Jagatap, Chinmay Hegde:
High Dynamic Range Imaging Using Deep Image Priors. ICASSP 2020: 9289-9293 - [i4]Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. CoRR abs/2008.12338 (2020)
2010 – 2019
- 2019
- [j1]Gauri Jagatap, Chinmay Hegde:
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. IEEE Trans. Inf. Theory 65(7): 4434-4456 (2019) - [c7]Gauri Jagatap, Chinmay Hegde:
Linearly Convergent Algorithms for Learning Shallow Residual Networks. ISIT 2019: 1797-1801 - [c6]Gauri Jagatap, Chinmay Hegde:
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. NeurIPS 2019: 14803-14813 - [i3]Gauri Jagatap, Chinmay Hegde:
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. CoRR abs/1906.08763 (2019) - 2018
- [c5]Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani:
Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. ICASSP 2018: 6493-6497 - [c4]Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani:
Low Rank Fourier Ptychography. ICASSP 2018: 6538-6542 - [c3]Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani:
Model Corrected Low Rank Ptychography. ICIP 2018: 3988-3992 - [c2]Gauri Jagatap, Chinmay Hegde:
Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure. ISIT 2018: 2296-2300 - [i2]Gauri Jagatap, Chinmay Hegde:
Learning ReLU Networks via Alternating Minimization. CoRR abs/1806.07863 (2018) - 2017
- [c1]Gauri Jagatap, Chinmay Hegde:
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval. NIPS 2017: 4917-4927 - [i1]Gauri Jagatap, Chinmay Hegde:
Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework. CoRR abs/1705.06412 (2017)
Coauthor Index
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