Gauri Jagatap

According to our database, Gauri Jagatap authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Can deepfakes be created by novice users?

Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt

CoRR, 2023

Can Deepfakes be created on a whim?

Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Provable Compressed Sensing With Generative Priors via Langevin Dynamics.

Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde

IEEE Trans. Inf. Theory, 2022

Inverse Imaging with Generative Priors Via Langevin Dynamics.

Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Adversarially Robust Learning via Entropic Regularization.

Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde

Frontiers Artif. Intell., 2021

Adversarial Token Attacks on Vision Transformers.

Ameya Joshi, Gauri Jagatap, Chinmay Hegde

CoRR, 2021

2020

Sample Efficient Fourier Ptychography for Structured Data.

Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani

IEEE Trans. Computational Imaging, 2020

Adversarially Robust Learning via Entropic Regularization.

Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde

CoRR, 2020

High Dynamic Range Imaging Using Deep Image Priors.

Gauri Jagatap, Chinmay Hegde

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements.

Gauri Jagatap, Chinmay Hegde

IEEE Trans. Inf. Theory, 2019

Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors.

Gauri Jagatap, Chinmay Hegde

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Linearly Convergent Algorithms for Learning Shallow Residual Networks.

Gauri Jagatap, Chinmay Hegde

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Learning ReLU Networks via Alternating Minimization.

Gauri Jagatap, Chinmay Hegde

CoRR, 2018

Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure.

Gauri Jagatap, Chinmay Hegde

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Model Corrected Low Rank Ptychography.

Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity.

Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Low Rank Fourier Ptychography.

Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework.

Gauri Jagatap, Chinmay Hegde

CoRR, 2017

Fast, Sample-Efficient Algorithms for Structured Phase Retrieval.

Gauri Jagatap, Chinmay Hegde

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017