Boris Bonev  

 



  ![](/sites/default/files/person/Profile%20Pic%202%20small.jpg)

  

 Boris Bonev received his PhD in applied mathematics from EPFL, numerical algorithms for large-scale PDE problems. At NVIDIA he works at the intersection of Machine Learning and classical numerical methods for Scientific Computing. He is excited about creating scalable algorithms from mathematical principles and mapping them to high-performance computing systems.



   Research Area(s)

[Algorithms and Numerical Methods](/index.php/research-area/algorithms)

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

[High Performance Computing](/index.php/research-area/high-performance-computing)

 

 

  

 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=sYo-KS4AAAAJ&hl=en&oi=ao](https://scholar.google.com/citations?user=sYo-KS4AAAAJ&hl=en&oi=ao)

 

  

 

 

 



 ### 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 

[Attention on the Sphere](/publication/2025-11_attention-sphere)

[Boris Bonev](/person/boris-bonev), Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth



<https://neurips.cc/virtual/2025/poster/117783>









[Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-2-properties-huge-ensemble-hindcasts-generated-spherical)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5605/2025/)









[Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-1-design-ensemble-weather-forecasts-using-spherical-fourier)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5575/2025/)









[FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale](/index.php/publication/2025-07_fourcastnet-3-geometric-approach-probabilistic-machine-learning-weather)

[Boris Bonev](/index.php/person/boris-bonev), Thorsten Kurth, Ankur Mahesh, Mauro Bisson, [Jean Kossaifi](/index.php/person/jean-kossaifi), Karthik Kashinath, Anima Anandkumar, William D. Collins, [Mike Pritchard](/index.php/person/mike-pritchard), [Alex Keller](/index.php/person/alex-keller)













### 2024 

[Pretraining codomain attention neural operators for solving multiphysics pdes](/publication/2024-12_pretraining-codomain-attention-neural-operators-solving-multiphysics-pdes)

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, [Boris Bonev](/person/boris-bonev), Colin White, Julius Berner, Raymond A. Yeh, [Jean Kossaifi](/person/jean-kossaifi), Kamyar Azizzadenesheli, Anima Anandkumar



[NeurIPS Proceedings](https://proceedings.neurips.cc/paper_files/paper/2024/hash/bc75fa9843a7905bbed9d83895a88f7f-Abstract-Conference.html)









[Neural operators with localized integral and differential kernels](/publication/2024-07_neural-operators-localized-integral-and-differential-kernels)

Miguel Liu-Schiaffini, Julius Berner, [Boris Bonev](/person/boris-bonev), Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar



[arXiv link](https://arxiv.org/abs/2402.16845)









### 2023 

[Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere](/publication/2023-06_spherical-fourier-neural-operators-learning-stable-dynamics-sphere)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Christian Hundt, [Jaideep Pathak](/person/jaideep-pathak), Maximilian Baust, Karthik Kashinath, Anima Anandkumar



[PDF](https://proceedings.mlr.press/v202/bonev23a/bonev23a.pdf)