Ajil Jalal

According to our database, Ajil Jalal authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Diffusion Posterior Sampling is Computationally Intractable.

Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Learning a 1-layer conditional generative model in total variation.

Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Accelerated Motion Correction for MRI Using Score-Based Generative Models.

Brett Levac, Ajil Jalal, Jonathan I. Tamir

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models.

Robin Netzorg, Ajil Jalal, Luna McNulty, Gopala Krishna Anumanchipalli

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

MRI Reconstruction with Side Information using Diffusion Models.

Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

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

Robust Compressed Sensing MRI with Deep Generative Priors.

Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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, 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, 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, 2021

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

Robust compressed sensing of generative models.

Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis

CoRR, 2020

Robust compressed sensing using generative models.

Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Inverting Deep Generative models, One layer at a time.

Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Compressed Sensing with Deep Image Prior and Learned Regularization.

David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis

CoRR, 2018

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 using Generative Models.

Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

The Adwords Problem with Strict Capacity Constraints.

Umang Bhaskar, Ajil Jalal, Rahul Vaze

Proceedings of the 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2016

2015

Online Budgeted Repeated Matching.

Ajil Jalal, Rahul Vaze, Umang Bhaskar

CoRR, 2015