7
Publications
1.1K
Citations
7
H-Index
2017
Active since
Affiliations
Ajil Jalal is an author at The University of Texas at Austin specializing in inverse problems, machine learning, and engineering.
Top concepts
EngineeringInverse ProblemsMachine LearningData ScienceDeep LearningHealthRadiologyMedical ImagingBiomedical ImagingCompressive Sensing
Publications per year
2017–2024
7
7
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price et al. · arXiv (Cornell University) · 2017 · 291 citations · Full text
Noisy Linear Measurements, Sparse Representation, Engineering +13
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal, Marius Arvinte, Giannis Daras et al. · arXiv (Cornell University) · 2021 · 46 citations · Full text
Intermediate Layer Optimization for Inverse Problems using Deep\n Generative Models
Giannis Daras, Joseph Dean, Ajil Jalal et al. · arXiv (Cornell University) · 2021 · 26 citations · Full text
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