Boris Bonev

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Qualitative And Quantitative Evaluation

Top Venues

J. Comput. Phys.

Publications

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
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR (2024)
Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR (2024)
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
Neural Operators with Localized Integral and Differential Kernels. CoRR (2024)
Chenggong Wang, Michael S. Pritchard, Noah D. Brenowitz, Yair Cohen, Boris Bonev, Thorsten Kurth, Dale R. Durran, Jaideep Pathak
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model. CoRR (2024)
Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard
A Practical Probabilistic Benchmark for AI Weather Models. CoRR (2024)
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. ICML (2023)
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere. CoRR (2023)
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
ACE: A fast, skillful learned global atmospheric model for climate prediction. CoRR (2023)
Boris Bonev, Jan S. Hesthaven
A Hierarchical Preconditioner for Wave Problems in Quasilinear Complexity. SIAM J. Sci. Comput. 44 (1) (2022)
Boris Bonev, Jan S. Hesthaven
A hierarchical preconditioner for wave problems in quasilinear complexity. CoRR (2021)
Lukas Prantl, Boris Bonev, Nils Thuerey
Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR (Poster) (2019)
Boris Bonev, Jan S. Hesthaven, Francis X. Giraldo, Michal A. Kopera
Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction. J. Comput. Phys. 362 (2018)
Boris Bonev, Lukas Prantl, Nils Thuerey
Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. CoRR (2017)