Gauri Jagatap

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Structured Sparsity

Top Venues

IEEE Trans. Inf. Theory

Publications

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)
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 (2023)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68 (11) (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR (2021)
Ameya Joshi, Gauri Jagatap, Chinmay Hegde
Adversarial Token Attacks on Vision Transformers. CoRR (2021)
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4 (2021)
Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging 6 (2020)
Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. CoRR (2020)
Gauri Jagatap, Chinmay Hegde
High Dynamic Range Imaging Using Deep Image Priors. ICASSP (2020)
Gauri Jagatap, Chinmay Hegde
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. IEEE Trans. Inf. Theory 65 (7) (2019)
Gauri Jagatap, Chinmay Hegde
Linearly Convergent Algorithms for Learning Shallow Residual Networks. ISIT (2019)
Gauri Jagatap, Chinmay Hegde
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. NeurIPS (2019)
Gauri Jagatap, Chinmay Hegde
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. CoRR (2019)
Gauri Jagatap, Chinmay Hegde
Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure. ISIT (2018)
Gauri Jagatap, Chinmay Hegde
Learning ReLU Networks via Alternating Minimization. CoRR (2018)
Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
Low Rank Fourier Ptychography. ICASSP (2018)
Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. ICASSP (2018)
Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
Model Corrected Low Rank Ptychography. ICIP (2018)
Gauri Jagatap, Chinmay Hegde
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval. NIPS (2017)
Gauri Jagatap, Chinmay Hegde
Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework. CoRR (2017)