Fast, Sample-Efficient Algorithms for Structured Phase Retrieval. - Gauri Jagatap; Chinmay Hegde (NIPS, 2017)

Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework. - Gauri Jagatap; Chinmay Hegde (CoRR, 2017)

Low Rank Fourier Ptychography. - Zhengyu Chen 003; Gauri Jagatap; Seyedehsara Nayer; Chinmay Hegde; Namrata Vaswani (ICASSP, 2018)

Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. - Gauri Jagatap; Zhengyu Chen 003; Chinmay Hegde; Namrata Vaswani (ICASSP, 2018)

Model Corrected Low Rank Ptychography. - Gauri Jagatap; Zhengyu Chen 003; Chinmay Hegde; Namrata Vaswani (ICIP, 2018)

Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure. - Gauri Jagatap; Chinmay Hegde (ISIT, 2018)

Learning ReLU Networks via Alternating Minimization. - Gauri Jagatap; Chinmay Hegde (CoRR, 2018)

Linearly Convergent Algorithms for Learning Shallow Residual Networks. - Gauri Jagatap; Chinmay Hegde (ISIT, 2019)

Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. - Gauri Jagatap; Chinmay Hegde (NeurIPS, 2019)

Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. - Gauri Jagatap; Chinmay Hegde (IEEE Trans. Inf. Theory, 2019)

High Dynamic Range Imaging Using Deep Image Priors. - Gauri Jagatap; Chinmay Hegde (ICASSP, 2020)

Adversarially Robust Learning via Entropic Regularization. - Gauri Jagatap; Animesh Basak Chowdhury; Siddharth Garg; Chinmay Hegde (CoRR, 2020)

Sample Efficient Fourier Ptychography for Structured Data. - Gauri Jagatap; Zhengyu Chen 003; Seyedehsara Nayer; Chinmay Hegde; Namrata Vaswani (IEEE Trans. Computational Imaging, 2020)

Adversarial Token Attacks on Vision Transformers. - Ameya Joshi; Gauri Jagatap; Chinmay Hegde (CoRR, 2021)

Adversarially Robust Learning via Entropic Regularization. - Gauri Jagatap; Ameya Joshi; Animesh Basak Chowdhury; Siddharth Garg; Chinmay Hegde (Frontiers Artif. Intell., 2021)

Inverse Imaging with Generative Priors Via Langevin Dynamics. - Thanh Van Nguyen; Gauri Jagatap; Chinmay Hegde (ICASSP, 2022)

Provable Compressed Sensing With Generative Priors via Langevin Dynamics. - Thanh Van Nguyen; Gauri Jagatap; Chinmay Hegde (IEEE Trans. Inf. Theory, 2022)

Can Deepfakes be created on a whim? - Pulak Mehta; Gauri Jagatap; Kevin Gallagher 001; Brian Timmerman; Progga Deb; Siddharth Garg; Rachel Greenstadt; Brendan Dolan-Gavitt (WWW (Companion Volume), 2023)

Can deepfakes be created by novice users? - Pulak Mehta; Gauri Jagatap; Kevin Gallagher 001; Brian Timmerman; Progga Deb; Siddharth Garg; Rachel Greenstadt; Brendan Dolan-Gavitt (CoRR, 2023)

Moment Sampling in Video LLMs for Long-Form Video QA. - Mustafa Chasmai; Gauri Jagatap; Gouthaman KV; Grant Van Horn; Subhransu Maji; Andrea Fanelli (CoRR, 2025)