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

Diffusion Posterior Sampling is Computationally Intractable - Shivam Gupta; Ajil Jalal; Aditya Parulekar; Eric Price; Zhiyang Xun (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

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

MRI Reconstruction with Side Information using Diffusion Models - Brett Levac; Ajil Jalal; Kannan Ramchandran; Jonathan I. Tamir (57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29 - Nov. 1, 2023, 2023)

Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models - Robin Netzorg; Ajil Jalal; Luna McNulty; Gopala Krishna Anumanchipalli (IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2023, Taipei, Taiwan, December 16-20, 2023, 2023)

Accelerated Motion Correction for MRI Using Score-Based Generative Models - Brett Levac; Ajil Jalal; Jonathan I. Tamir (20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, April 18-21, 2023, 2023)

Learning a 1-layer conditional generative model in total variation - Ajil Jalal; Justin Singh Kang; Ananya Uppal; Kannan Ramchandran; Eric Price (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 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)

PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models - Robin Netzorg; Ajil Jalal; Luna McNulty; Gopala Krishna Anumanchipalli (CoRR, 2023)

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)

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models - Giannis Daras; Joseph Dean; Ajil Jalal; Alex Dimakis (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Instance-Optimal Compressed Sensing via Posterior Sampling - Ajil Jalal; Sushrut Karmalkar; Alex Dimakis; Eric Price (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Fairness for Image Generation with Uncertain Sensitive Attributes - Ajil Jalal; Sushrut Karmalkar; Jessica Hoffmann; Alex Dimakis; Eric Price (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Robust Compressed Sensing MRI with Deep Generative Priors - Ajil Jalal; Marius Arvinte; Giannis Daras; Eric Price; Alexandros G. Dimakis; Jonathan I. Tamir (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

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

Instance-Optimal Compressed Sensing via Posterior Sampling - Ajil Jalal; Sushrut Karmalkar; Alexandros G. Dimakis; Eric Price (CoRR, 2021)

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

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

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)

Robust compressed sensing using generative models - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

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

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

Inverting Deep Generative models, One layer at a time - Qi Lei; Ajil Jalal; Inderjit S. Dhillon; Alexandros G. Dimakis (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

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

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

Compressed Sensing using Generative Models - Ashish Bora; Ajil Jalal; Eric Price; Alexandros G. Dimakis (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

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

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

The Adwords Problem with Strict Capacity Constraints - Umang Bhaskar; Ajil Jalal; Rahul Vaze (36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, FSTTCS 2016, December 13-15, 2016, Chennai, India, 2016)

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