Jalal, Ajil

13 publications

ICML 2024 Diffusion Posterior Sampling Is Computationally Intractable Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun

ICMLW 2024 Discrete Diffusion Posterior Sampling for Protein Design Mert Cemri, Ajil Jalal, Kannan Ramchandran

NeurIPS 2023 Learning a 1-Layer Conditional Generative Model in Total Variation Ajil Jalal, Justin Kang, Ananya Uppal, Kannan Ramchandran, Ecprice

NeurIPSW 2023 Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula, Brett Levac, Ajil Jalal, Jon Tamir, Alex Dimakis

ICML 2021 Fairness for Image Generation with Uncertain Sensitive Attributes Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price

ICML 2021 Instance-Optimal Compressed Sensing via Posterior Sampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

ICML 2021 Intermediate Layer Optimization for Inverse Problems Using Deep Generative Models Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis

NeurIPSW 2021 Robust Compressed Sensing MR Imaging with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jonathan Tamir

NeurIPS 2021 Robust Compressed Sensing MRI with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Ecprice, Alexandros G Dimakis, Jon Tamir

NeurIPSW 2020 Compressed Sensing with Approximate Priors via Conditional Resampling Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price

NeurIPS 2020 Robust Compressed Sensing Using Generative Models Ajil Jalal, Liu Liu, Alexandros G Dimakis, Constantine Caramanis

NeurIPS 2019 Inverting Deep Generative Models, One Layer at a Time Qi Lei, Ajil Jalal, Inderjit S Dhillon, Alexandros G Dimakis

ICML 2017 Compressed Sensing Using Generative Models Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis