Gauri Jagatap

23 papers A* 1B 3Misc 4Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Moment Sampling in Video LLMs for Long-Form Video QA.
CoRR
Mustafa Chasmai, Gauri Jagatap, Gouthaman KV, Grant Van Horn, Subhransu Maji, Andrea Fanelli
2025 J jnl
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings.
CoRR
Aakriti Agrawal, Gouthaman KV, Rohith Aralikatti, Gauri Jagatap, Jiaxin Yuan, Vijay Kamarshi, Andrea Fanelli, Furong Huang
2023 — conf
Can Deepfakes be created on a whim?
WWW (Companion Volume)
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
2023 J jnl
Can deepfakes be created by novice users?
CoRR
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
2022 Misc conf
Inverse Imaging with Generative Priors Via Langevin Dynamics.
ICASSP
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2022 J jnl
Provable Compressed Sensing With Generative Priors via Langevin Dynamics.
IEEE Trans. Inf. Theory
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2021 J jnl
Adversarial Token Attacks on Vision Transformers.
CoRR
Ameya Joshi, Gauri Jagatap, Chinmay Hegde
2021 J jnl
Adversarially Robust Learning via Entropic Regularization.
Frontiers Artif. Intell.
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
2021 J jnl
Provable Compressed Sensing with Generative Priors via Langevin Dynamics.
CoRR
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2020 J jnl
Adversarially Robust Learning via Entropic Regularization.
CoRR
Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
2020 Misc conf
High Dynamic Range Imaging Using Deep Image Priors.
ICASSP
Gauri Jagatap, Chinmay Hegde
2020 J jnl
Sample Efficient Fourier Ptychography for Structured Data.
IEEE Trans. Computational Imaging
Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
2019 A* conf
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors.
NeurIPS
Gauri Jagatap, Chinmay Hegde
2019 J jnl
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors.
CoRR
Gauri Jagatap, Chinmay Hegde
2019 B conf
Linearly Convergent Algorithms for Learning Shallow Residual Networks.
ISIT
Gauri Jagatap, Chinmay Hegde
2019 J jnl
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements.
IEEE Trans. Inf. Theory
Gauri Jagatap, Chinmay Hegde
2018 J jnl
Learning ReLU Networks via Alternating Minimization.
CoRR
Gauri Jagatap, Chinmay Hegde
2018 Misc conf
Low Rank Fourier Ptychography.
ICASSP
Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
2018 B conf
Model Corrected Low Rank Ptychography.
ICIP
Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
2018 Misc conf
Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity.
ICASSP
Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
2018 B conf
Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure.
ISIT
Gauri Jagatap, Chinmay Hegde
2017 — conf
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval.
NIPS
Gauri Jagatap, Chinmay Hegde
2017 J jnl
Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework.
CoRR
Gauri Jagatap, Chinmay Hegde