Ajil Jalal

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Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Eric PriceAssistant Professor of Computer Science at the University of Texas at AustinVerified email at cs.utexas.edu
Ashish BoraGoogleVerified email at google.com
Jonathan I. TamirAssistant Professor of Electrical and Computer Engineering, The University of Texas at AustinVerified email at utexas.edu
Giannis DarasThe University of Texas at AustinVerified email at utexas.edu
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Greg OngieMarquette UniversityVerified email at marquette.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Christopher A. MetzlerUniversity of Maryland, College ParkVerified email at umd.edu
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.edu
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Sushrut KarmalkarUniversity of Wisconsin-MadisonVerified email at cs.utexas.edu
Dave Van VeenPhD Student, Stanford UniversityVerified email at utexas.edu
Mahdi SoltanolkotabiUniversity of Southern CaliforniaVerified email at usc.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Liu LiuTencent AI LabVerified email at tencent.com
Qi LeiAssistant Professor of Mathematics and Data Science, New York UniversityVerified email at nyu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Jeffrey AndrewsTruchard Family Chair and Director of 6G@UT, University of Texas at AustinVerified email at ece.utexas.edu
Akash DoshiSenior Engineer, Qualcomm WRDVerified email at qti.qualcomm.com

Ajil Jalal

UC Berkeley

Verified email at berkeley.edu - Homepage

Compressed sensing Generative models Information theory


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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	731	2017
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	378	2020
The robust manifold defense: Adversarial training using generative models A Jalal, A Ilyas, C Daskalakis, AG Dimakis arXiv preprint arXiv:1712.09196, 2017	174	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	173	2018
Robust compressed sensing MRI with deep generative priors A Jalal, M Arvinte, G Daras, E Price, A Dimakis, J Tamir Thirty-Fifth Conference on Neural Information Processing Systems, 2021	96	2021
Intermediate layer optimization for inverse problems using deep generative models G Daras, J Dean, A Jalal, AG Dimakis International Conference on Machine Learning, 2021	53	2021
Inverting deep generative models, one layer at a time Q Lei, A Jalal, IS Dhillon, AG Dimakis Thirty-Third Conference on Neural Information Processing Systems, 2019	47	2019
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	42	2020
Robust compressed sensing using generative models A Jalal, L Liu, AG Dimakis, C Caramanis Thirty-Fourth Conference on Neural Information Processing Systems, 2020	33*	2020
Instance-Optimal Compressed Sensing via Posterior Sampling A Jalal, S Karmalkar, AG Dimakis, E Price International Conference on Machine Learning, 2021	32*	2021
Fairness for image generation with uncertain sensitive attributes A Jalal, S Karmalkar, J Hoffmann, A Dimakis, E Price International Conference on Machine Learning, 4721-4732, 2021	21	2021
Accelerated Motion Correction for MRI using Score-Based Generative Models B Levac, A Jalal, JI Tamir arXiv preprint arXiv:2211.00199, 2022	5	2022
Single-Shot Adaptation using Score-Based Models for MRI Reconstruction M Arvinte, A Jalal, G Daras, E Price, A Dimakis, JI Tamir International Society for Magnetic Resonance in Medicine, Annual Meeting, 2022	3	2022
Conditional Score-Based Reconstructions for Multi-contrast MRI B Levac, A Jalal, K Ramchandran, JI Tamir arXiv preprint arXiv:2303.14795, 2023	1	2023
The adwords problem with strict capacity constraints U Bhaskar, A Jalal, R Vaze 36th IARCS Annual Conference on Foundations of Software Technology and …, 2016	1	2016
Compressed sensing using generative models: theory and applications A Jalal		2022
Root cause analysis using Granger causality A Jalal, K Shanmugam, B Vinzamuri US Patent 11,238,129, 2022		2022
Implementing compressed sensing with deep image prior to reconstruct undersampled dynamic contrast-enhanced MRI data of the breast KP Slavkova, JC DiCarlo, DM Van Veen, AK Syed, A Jalal, J Virostko, ...

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