Online Budgeted Repeated Matching. - Ajil Jalal; Rahul Vaze; Umang Bhaskar (CoRR, 2015)

The Adwords Problem with Strict Capacity Constraints. - Umang Bhaskar; Ajil Jalal; Rahul Vaze (FSTTCS, 2016)

Compressed Sensing using Generative Models. - Ashish Bora; Ajil Jalal; Eric Price 001; Alexandros G. Dimakis (ICML, 2017)

The Robust Manifold Defense: Adversarial Training using Generative Models. - Andrew Ilyas; Ajil Jalal; Eirini Asteri; Constantinos Daskalakis; Alexandros G. Dimakis (CoRR, 2017)

Compressed Sensing with Deep Image Prior and Learned Regularization. - David Van Veen; Ajil Jalal; Eric Price 001; Sriram Vishwanath; Alexandros G. Dimakis (CoRR, 2018)

Inverting Deep Generative models, One layer at a time. - Qi Lei; Ajil Jalal; Inderjit S. Dhillon; Alexandros G. Dimakis (NeurIPS, 2019)

Robust compressed sensing using generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (NeurIPS, 2020)

Robust compressed sensing of generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (CoRR, 2020)

Deep Learning Techniques for Inverse Problems in Imaging. - Gregory Ongie; Ajil Jalal; Christopher A. Metzler; Richard G. Baraniuk; Alexandros G. Dimakis; Rebecca Willett (IEEE J. Sel. Areas Inf. Theory, 2020)

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. - Giannis Daras; Joseph Dean; Ajil Jalal; Alex Dimakis (ICML, 2021)

Instance-Optimal Compressed Sensing via Posterior Sampling. - Ajil Jalal; Sushrut Karmalkar; Alex Dimakis; Eric Price 001 (ICML, 2021)

Fairness for Image Generation with Uncertain Sensitive Attributes. - Ajil Jalal; Sushrut Karmalkar; Jessica Hoffmann; Alex Dimakis; Eric Price 001 (ICML, 2021)

Robust Compressed Sensing MRI with Deep Generative Priors. - Ajil Jalal; Marius Arvinte; Giannis Daras; Eric Price 001; Alexandros G. Dimakis; Jonathan I. Tamir (NeurIPS, 2021)

High Dimensional Channel Estimation Using Deep Generative Networks. - Eren Balevi; Akash S. Doshi; Ajil Jalal; Alexandros G. Dimakis; Jeffrey G. Andrews (IEEE J. Sel. Areas Commun., 2021)

MRI Reconstruction with Side Information using Diffusion Models. - Brett Levac; Ajil Jalal; Kannan Ramchandran; Jonathan I. Tamir (ACSSC, 2023)

Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models. - Robin Netzorg; Ajil Jalal; Luna McNulty; Gopala Krishna Anumanchipalli (ASRU, 2023)

Accelerated Motion Correction for MRI Using Score-Based Generative Models. - Brett Levac; Ajil Jalal; Jonathan I. Tamir (ISBI, 2023)

Learning a 1-layer conditional generative model in total variation. - Ajil Jalal; Justin Singh Kang; Ananya Uppal; Kannan Ramchandran; Eric Price 001 (NeurIPS, 2023)

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. - Sriram Ravula; Brett Levac; Ajil Jalal; Jonathan I. Tamir; Alexandros G. Dimakis (CoRR, 2023)

Diffusion Posterior Sampling is Computationally Intractable. - Shivam Gupta 002; Ajil Jalal; Aditya Parulekar; Eric Price 001; Zhiyang Xun (ICML, 2024)

Double Blind Imaging with Generative Modeling. - Brett Levac; Ajil Jalal; Kannan Ramchandran; Jonathan I. Tamir (CoRR, 2025)