  Morteza Mardani  

 



  ![](/sites/default/files/person/mortez_nov2017%20%281%29_0.jpg)

  

   Research Area(s)

[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

[Computational Photography and Imaging](/index.php/research-area/computational-photography-imaging)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=H7edsyEAAAAJ&amp;hl=en](https://scholar.google.com/citations?user=H7edsyEAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2026 

[Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting](/publication/2026-01_demystifying-data-driven-probabilistic-medium-range-weather-forecasting)

[Jean Kossaifi](/person/jean-kossaifi), [Nikola Kovachki](/person/nikola-kovachki), [Morteza Mardani](/person/morteza-mardani), [Daniel Leibovici](/person/daniel-leibovici), Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, [Noah Brenowitz](/person/noah-brenowitz), [Boris Bonev](/person/boris-bonev), [Wonmin Byeon](/person/wonmin-byeon), [Karsten Kreis](/person/karsten-kreis), [Dale Durran](/person/dale-durran), [Arash Vahdat](/person/arash-vahdat), [Mike Pritchard](/person/mike-pritchard), [Jan Kautz](/person/jan-kautz)













### 2025 

[Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting](/publication/2025-12_elucidated-rolling-diffusion-models-probabilistic-weather-forecasting)

Salva Rühling Cachay, [Miika Aittala](/person/miika-aittala), [Karsten Kreis](/person/karsten-kreis), [Noah Brenowitz](/person/noah-brenowitz), [Arash Vahdat](/person/arash-vahdat), [Morteza Mardani](/person/morteza-mardani), Rose Yu



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/abs/2506.20024)









### 2024 

[Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models](/publication/2024-12_warped-diffusion-solving-video-inverse-problems-image-diffusion-models)

Giannis Daras, Weili Nie, [Karsten Kreis](/person/karsten-kreis), Alexandros G. Dimakis, [Morteza Mardani](/person/morteza-mardani), [Nikola Kovachki](/person/nikola-kovachki), [Arash Vahdat](/person/arash-vahdat)



[Neural Information Processing Systems (NeurIPS) 2024](https://arxiv.org/abs/2410.16152)









[Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling](/index.php/publication/2024-08_kilometer-scale-convection-allowing-model-emulation-using-generative-diffusion)

[Jaideep Pathak](/index.php/person/jaideep-pathak), Yair Cohen, Piyush Garg, Peter Harrington, [Noah Brenowitz](/index.php/person/noah-brenowitz), [Dale Durran](/index.php/person/dale-durran), [Morteza Mardani](/index.php/person/morteza-mardani), [Arash Vahdat](/index.php/person/arash-vahdat), Shaoming Xu, Karthik Kashinath, [Mike Pritchard](/index.php/person/mike-pritchard)













### 2020 

[Neural FFTs for Universal Texture Image Synthesis](/index.php/publication/2020-12_neural-ffts-universal-texture-image-synthesis)

[Morteza Mardani](/index.php/person/morteza-mardani), Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro



[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/a23156abfd4a114c35b930b836064e8b-Abstract.html)