| Compressed sensing using generative models A Bora, A Jalal, E Price, AG Dimakis International conference on machine learning, 537-546, 2017 | 972 | 2017 |
| Deep learning techniques for inverse problems in imaging G Ongie, A Jalal, CA Metzler, RG Baraniuk, AG Dimakis, R Willett IEEE Journal on Selected Areas in Information Theory 1 (1), 39-56, 2020 | 675 | 2020 |
| Robust compressed sensing MRI with deep generative priors A Jalal, M Arvinte, G Daras, E Price, A Dimakis, J Tamir Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 315 | 2021 |
| Compressed sensing with deep image prior and learned regularization D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ... arXiv preprint arXiv:1806.06438, 2018 | 218 | 2018 |
| The robust manifold defense: Adversarial training using generative models A Jalal, A Ilyas, C Daskalakis, AG Dimakis arXiv preprint arXiv:1712.09196, 2017 | 204 | 2017 |
| Intermediate layer optimization for inverse problems using deep generative models G Daras, J Dean, A Jalal, AG Dimakis International Conference on Machine Learning, 2021 | 98 | 2021 |
| High dimensional channel estimation using deep generative networks E Balevi, A Doshi, A Jalal, A Dimakis, JG Andrews IEEE Journal on Selected Areas in Communications 39 (1), 18-30, 2020 | 87 | 2020 |
| Inverting deep generative models, one layer at a time Q Lei, A Jalal, IS Dhillon, AG Dimakis Thirty-Third Conference on Neural Information Processing Systems, 2019 | 65 | 2019 |
| Instance-Optimal Compressed Sensing via Posterior Sampling A Jalal, S Karmalkar, AG Dimakis, E Price International Conference on Machine Learning, 2021 | 54 | 2021 |
| Fairness for image generation with uncertain sensitive attributes A Jalal, S Karmalkar, J Hoffmann, A Dimakis, E Price International Conference on Machine Learning, 4721-4732, 2021 | 52 | 2021 |
| Robust compressed sensing using generative models A Jalal, L Liu, AG Dimakis, C Caramanis Thirty-Fourth Conference on Neural Information Processing Systems, 2020 | 52* | 2020 |
| Accelerated motion correction for MRI using score-based generative models B Levac, A Jalal, JI Tamir 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 36 | 2023 |
| Optimizing sampling patterns for compressed sensing MRI with diffusion generative models S Ravula, B Levac, A Jalal, JI Tamir, AG Dimakis arXiv preprint arXiv:2306.03284, 2023 | 17 | 2023 |
| Deep generative models and inverse problems AG Dimakis Mathematical Aspects of Deep Learning 400, 2022 | 15 | 2022 |
| MRI reconstruction with side information using diffusion models B Levac, A Jalal, K Ramchandran, JI Tamir 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1436-1442, 2023 | 14* | 2023 |
| Accelerated motion correction with deep generative diffusion models B Levac, S Kumar, A Jalal, JI Tamir Magnetic Resonance in Medicine 92 (2), 853-868, 2024 | 7 | 2024 |
| Diffusion posterior sampling is computationally intractable S Gupta, A Jalal, A Parulekar, E Price, Z Xun arXiv preprint arXiv:2402.12727, 2024 | 7 | 2024 |
| Single-shot adaptation using score-based models for mri reconstruction M Arvinte, A Jalal, G Daras, E Price, A Dimakis, JI Tamir International Society for Magnetic Resonance in Medicine, Annual Meeting 42, 2022 | 7 | 2022 |
| Permod: Perceptually grounded voice modification with latent diffusion models R Netzorg, A Jalal, L McNulty, GK Anumanchipalli 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 3 | 2023 |
| The adwords problem with strict capacity constraints U Bhaskar, A Jalal, R Vaze 36th IARCS Annual Conference on Foundations of Software Technology and …, 2016 | 2 | 2016 |
Alexandros G DimakisProfessor, ECE University of Texas at Austinaustin.utexas.edu의 이메일 확인됨