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ORCIDAjil Jalal
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Journal Articles
- 2021
[j2]Eren Balevi
, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews:
High Dimensional Channel Estimation Using Deep Generative Networks. IEEE J. Sel. Areas Commun. 39(1): 18-30 (2021)- 2020
- [j1]Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. IEEE J. Sel. Areas Inf. Theory 1(1): 39-56 (2020)
Conference and Workshop Papers
- 2024
- [c13]Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun:
Diffusion Posterior Sampling is Computationally Intractable. ICML 2024 - 2023
- [c12]Brett Levac, Ajil Jalal, Kannan Ramchandran, Jonathan I. Tamir:
MRI Reconstruction with Side Information using Diffusion Models. ACSSC 2023: 1436-1442 - [c11]Robin Netzorg, Ajil Jalal, Luna McNulty, Gopala Krishna Anumanchipalli:
Permod: Perceptually Grounded Voice Modification With Latent Diffusion Models. ASRU 2023: 1-8 - [c10]Brett Levac, Ajil Jalal, Jonathan I. Tamir:
Accelerated Motion Correction for MRI Using Score-Based Generative Models. ISBI 2023: 1-5 - [c9]Ajil Jalal, Justin Singh Kang, Ananya Uppal, Kannan Ramchandran, Eric Price:
Learning a 1-layer conditional generative model in total variation. NeurIPS 2023 - 2021
- [c8]Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis:
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. ICML 2021: 2421-2432 - [c7]Ajil Jalal, Sushrut Karmalkar, Alex Dimakis, Eric Price:
Instance-Optimal Compressed Sensing via Posterior Sampling. ICML 2021: 4709-4720 - [c6]Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alex Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. ICML 2021: 4721-4732 - [c5]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS 2021: 14938-14954 - 2020
- [c4]Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis:
Robust compressed sensing using generative models. NeurIPS 2020 - 2019
- [c3]Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis:
Inverting Deep Generative models, One layer at a time. NeurIPS 2019: 13910-13919 - 2017
- [c2]Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis:
Compressed Sensing using Generative Models. ICML 2017: 537-546 - 2016
- [c1]Umang Bhaskar, Ajil Jalal, Rahul Vaze:
The Adwords Problem with Strict Capacity Constraints. FSTTCS 2016: 30:1-30:14
Informal and Other Publications
- 2024
- [i14]Shivam Gupta, Ajil Jalal, Aditya Parulekar, Eric Price, Zhiyang Xun:
Diffusion Posterior Sampling is Computationally Intractable. CoRR abs/2402.12727 (2024) - 2023
- [i13]Sriram Ravula, Brett Levac, Ajil Jalal, Jonathan I. Tamir, Alexandros G. Dimakis:
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. CoRR abs/2306.03284 (2023) - [i12]Robin Netzorg, Ajil Jalal, Luna McNulty, Gopala Krishna Anumanchipalli:
PerMod: Perceptually Grounded Voice Modification with Latent Diffusion Models. CoRR abs/2312.08494 (2023) - 2021
- [i11]Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis:
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. CoRR abs/2102.07364 (2021) - [i10]Ajil Jalal, Sushrut Karmalkar, Alexandros G. Dimakis, Eric Price:
Instance-Optimal Compressed Sensing via Posterior Sampling. CoRR abs/2106.11438 (2021) - [i9]Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price:
Fairness for Image Generation with Uncertain Sensitive Attributes. CoRR abs/2106.12182 (2021) - [i8]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR abs/2108.01368 (2021) - 2020
- [i7]Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. CoRR abs/2005.06001 (2020) - [i6]Ajil Jalal, Liu Liu, Alexandros G. Dimakis, Constantine Caramanis:
Robust compressed sensing of generative models. CoRR abs/2006.09461 (2020) - 2019
- [i5]Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis:
Inverting Deep Generative models, One layer at a time. CoRR abs/1906.07437 (2019) - 2018
- [i4]David Van Veen, Ajil Jalal, Eric Price, Sriram Vishwanath, Alexandros G. Dimakis:
Compressed Sensing with Deep Image Prior and Learned Regularization. CoRR abs/1806.06438 (2018) - 2017
- [i3]Ashish Bora, Ajil Jalal, Eric Price, Alexandros G. Dimakis:
Compressed Sensing using Generative Models. CoRR abs/1703.03208 (2017) - [i2]Andrew Ilyas, Ajil Jalal, Eirini Asteri, Constantinos Daskalakis, Alexandros G. Dimakis:
The Robust Manifold Defense: Adversarial Training using Generative Models. CoRR abs/1712.09196 (2017) - 2015
- [i1]Ajil Jalal, Rahul Vaze, Umang Bhaskar:
Online Budgeted Repeated Matching. CoRR abs/1512.00153 (2015)
Coauthor Index
aka: Alex Dimakis
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