Ajil  Jalal
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Compressed sensing using generative models
A Bora, A Jalal, E Price, AG Dimakis
International Conference on Machine Learning, 537-546, 2017
The robust manifold defense: Adversarial training using generative models
A Jalal, A Ilyas, C Daskalakis, AG Dimakis
arXiv preprint arXiv:1712.09196, 2017
Compressed sensing with deep image prior and learned regularization
D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ...
arXiv preprint arXiv:1806.06438, 2018
Deep learning techniques for inverse problems in imaging
G Ongie, A Jalal, CA Metzler, RG Baraniuk, AG Dimakis, R Willett
IEEE Journal on Selected Areas in Information Theory 1 (1), 39-56, 2020
Inverting deep generative models, one layer at a time
Q Lei, A Jalal, IS Dhillon, AG Dimakis
arXiv preprint arXiv:1906.07437, 2019
Robust compressed sensing using generative models
A Jalal, L Liu, AG Dimakis, C Caramanis
Advances in Neural Information Processing Systems, 2020
High Dimensional Channel Estimation Using Deep Generative Networks
E Balevi, A Doshi, A Jalal, A Dimakis, JG Andrews
IEEE Journal on Selected Areas in Communications 39 (1), 18-30, 2020
Intermediate layer optimization for inverse problems using deep generative models
G Daras, J Dean, A Jalal, AG Dimakis
arXiv preprint arXiv:2102.07364, 2021
The adwords problem with strict capacity constraints
U Bhaskar, A Jalal, R Vaze
36th IARCS Annual Conference on Foundations of Software Technology and …, 2016
Compressed Sensing with Approximate Priors via Conditional Resampling
A Jalal, S Karmalkar, AG Dimakis, E Price
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