Boris Bonev

According to our database, Boris Bonev authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

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, Anima Anandkumar

CoRR, 2024

Neural Operators with Localized Integral and Differential Kernels.

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

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

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