Morteza Mardani
Stanford University
H-index: 23
North America-United States
Top articles of Morteza Mardani
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations | arXiv preprint arXiv:2404.06517 | Jason Stock Jaideep Pathak Yair Cohen Mike Pritchard Piyush Garg | 2024/4/4 |
Agg: Amortized generative 3d gaussians for single image to 3d | arXiv preprint arXiv:2401.04099 | Dejia Xu Ye Yuan Morteza Mardani Sifei Liu Jiaming Song | 2024/1/8 |
Residual Diffusion Modeling for Km-scale Atmospheric Downscaling | Morteza Mardani Noah Brenowitz Yair Cohen Jaideep Pathak Chieh-Yu Chen | 2024/1/4 | |
Scaling Convex Neural Networks with Burer-Monteiro Factorization | Arda Sahiner Tolga Ergen Batu Ozturkler John M Pauly Morteza Mardani | 2023/10/13 | |
AutoSamp: Autoencoding MRI Sampling via Variational Information Maximization | arXiv preprint arXiv:2306.02888 | Cagan Alkan Morteza Mardani Shreyas S Vasanawala John M Pauly | 2023/6/5 |
Smrd: Sure-based robust mri reconstruction with diffusion models | Batu Ozturkler Chao Liu Benjamin Eckart Morteza Mardani Jiaming Song | 2023/10/1 | |
A variational perspective on solving inverse problems with diffusion models | arXiv preprint arXiv:2305.04391 | Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat | 2023/5/7 |
Generative residual diffusion modeling for km-scale atmospheric downscaling | arXiv preprint arXiv:2309.15214 | Morteza Mardani Noah Brenowitz Yair Cohen Jaideep Pathak Chieh-Yu Chen | 2023/9/24 |
Multiscale Attention via Wavelet Neural Operators for Vision Transformers | arXiv preprint arXiv:2303.12398 | Anahita Nekoozadeh Mohammad Reza Ahmadzadeh Zahra Mardani | 2023/3/22 |
Variational Diffusion Models for Blind MRI Inverse Problems | Cagan Alkan Julio Oscanoa Daniel Abraham Mengze Gao Aizada Nurdinova | 2023/11/3 | |
Loss-guided diffusion models for plug-and-play controllable generation | Jiaming Song Qinsheng Zhang Hongxu Yin Morteza Mardani Ming-Yu Liu | 2023/7/3 | |
Regularization by denoising diffusion process for mri reconstruction | Batu Ozturkler Morteza Mardani Arash Vahdat Jan Kautz John M Pauly | 2023/11/3 | |
Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators | Thorsten Kurth Shashank Subramanian Peter Harrington Jaideep Pathak Morteza Mardani | 2023/6/26 | |
Fourcastnet: Adata-driven model for high-resolution weather forecasts using adaptive fourier neural operators | Ann Arbor | Jaideep Pathak Shashank Subramanian Lawrence Berkeley Peter Harrington Sanjeev Raja | 2022 |
Pseudoinverse-guided diffusion models for inverse problems | Jiaming Song Arash Vahdat Morteza Mardani Jan Kautz | 2022/9/29 | |
Gleam: greedy learning for large-scale accelerated MRI reconstruction | arXiv preprint arXiv:2207.08393 | Batu Ozturkler Arda Sahiner Tolga Ergen Arjun D Desai Christopher M Sandino | 2022/7/18 |
Unraveling attention via convex duality: Analysis and interpretations of vision transformers | Arda Sahiner Tolga Ergen Batu Ozturkler John Pauly Morteza Mardani | 2022/6/28 | |
Towards Digital Twins for NVIDIA's Earth-2 Initiative: Pushing the Limits of Deep Auto-regressive Fourier Neural Operator and Transformer models for Earth System Emulation | AGU Fall Meeting Abstracts | Karthik Kashinath Mike S Pritchard Anima Anandkumar Jaideep Pathak Morteza Mardani | 2022/12 |
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators | Jaideep Pathak Shashank Subramanian Peter Harrington Sanjeev Raja Ashesh Chattopadhyay | 2022/2 | |
Calibration of large neural weather models | NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning | Andre Graubner Kamyar Kamyar Azizzadenesheli Jaideep Pathak Morteza Mardani Mike Pritchard | 2022 |
Co-Authors
