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
Sriram VishwanathUniversity of TexasVerified email at utexas.edu
Dave Van VeenPhD Student, Stanford UniversityVerified email at stanford.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
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
Brett LevacUniversity of Texas at AustinVerified email at utexas.edu
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

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	807	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	460	2020
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	189	2018
The robust manifold defense: Adversarial training using generative models A Jalal, A Ilyas, C Daskalakis, AG Dimakis arXiv preprint arXiv:1712.09196, 2017	184	2017
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	148	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	75	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	56	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	47	2020
Robust compressed sensing using generative models A Jalal, L Liu, AG Dimakis, C Caramanis Thirty-Fourth Conference on Neural Information Processing Systems, 2020	42*	2020
Instance-Optimal Compressed Sensing via Posterior Sampling A Jalal, S Karmalkar, AG Dimakis, E Price International Conference on Machine Learning, 2021	38*	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	28	2021
Accelerated motion correction for MRI using score-based generative models B Levac, A Jalal, JI Tamir 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023	14	2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models S Ravula, B Levac, A Jalal, JI Tamir, AG Dimakis arXiv preprint arXiv:2306.03284, 2023	5	2023
Deep Generative Models and Inverse Problems AG Dimakis, A Bora, D Van Veen, A Jalal, S Vishwanath, E Price Mathematical Aspects of Deep Learning, 400, 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	5	2022
Conditional Score-Based Reconstructions for Multi-contrast MRI B Levac, A Jalal, K Ramchandran, JI Tamir arXiv preprint arXiv:2303.14795, 2023	2	2023
Root cause analysis using Granger causality A Jalal, K Shanmugam, B Vinzamuri US Patent 11,238,129, 2022	1	2022
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
Learning a 1-layer conditional generative model in total variation A Jalal, J Kang, A Uppal, K Ramchandran, E Price Thirty-seventh Conference on Neural Information Processing Systems, 2023		2023
Compressed sensing using generative models: theory and applications A Jalal		2022

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