Boris Bonev

According to our database, Boris Bonev authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale.

Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Michael S. Pritchard, Alexander Keller

CoRR, July, 2025

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning.

Julius Berner, Miguel Liu-Schiaffini, Jean Kossaifi, Valentin Duruisseaux, Boris Bonev, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, June, 2025

Attention on the Sphere.

Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth

CoRR, May, 2025

2024

A Library for Learning Neural Operators.

Jean Kossaifi, Nikola B. Kovachki, Zongyi Li, David Pitt, Miguel Liu-Schiaffini, Robert Joseph George, Boris Bonev, Kamyar Azizzadenesheli, Julius Berner, Anima Anandkumar

CoRR, 2024

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale.

Alberto Carpentieri, Jussi Leinonen, Jeff Adie, Boris Bonev, Doris Folini, Farah Hariri

CoRR, 2024

Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts.

Jussi Leinonen, Boris Bonev, Thorsten Kurth, Yair Cohen

CoRR, 2024

Exploring the design space of deep-learning-based weather forecasting systems.

Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris Bonev, Christopher B. Choy, Jan Kautz, David Krueger, Kamyar Azizzadenesheli

CoRR, 2024

Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators.

Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

CoRR, 2024

Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators.

Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard

CoRR, 2024

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model.

Chenggong Wang, Michael S. Pritchard, Noah D. Brenowitz, Yair Cohen, Boris Bonev, Thorsten Kurth, Dale R. Durran, Jaideep Pathak

CoRR, 2024

A Practical Probabilistic Benchmark for AI Weather Models.

Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard

CoRR, 2024

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs.

Md. Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Animashree Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Operators with Localized Integral and Differential Kernels.

Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators.

Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton

CoRR, 2023

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar

Proceedings of the International Conference on Machine Learning, 2023

2022

A Hierarchical Preconditioner for Wave Problems in Quasilinear Complexity.

Boris Bonev, Jan S. Hesthaven

SIAM J. Sci. Comput., 2022

2019

Generating Liquid Simulations with Deformation-aware Neural Networks.

Lukas Prantl, Boris Bonev, Nils Thuerey

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction.

Boris Bonev, Jan S. Hesthaven, Francis X. Giraldo, Michal A. Kopera

J. Comput. Phys., 2018

2017

Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow.

Boris Bonev, Lukas Prantl, Nils Thuerey

CoRR, 2017