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2020 – today
- 2024
[c4]Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar:
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR 2024- [c3]Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar:
Neural Operators with Localized Integral and Differential Kernels. ICML 2024 - [i9]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 abs/2401.15305 (2024) - [i8]Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar:
Neural Operators with Localized Integral and Differential Kernels. CoRR abs/2402.16845 (2024) - [i7]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 abs/2403.12553 (2024) - [i6]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 abs/2406.08632 (2024) - [i5]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:
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators. CoRR abs/2408.01581 (2024) - 2023
- [c2]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: 2806-2823 - [i4]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 abs/2306.03838 (2023) - [i3]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 abs/2310.02074 (2023) - 2022
- [j2]Boris Bonev, Jan S. Hesthaven:
A Hierarchical Preconditioner for Wave Problems in Quasilinear Complexity. SIAM J. Sci. Comput. 44(1): 198- (2022) - 2021
- [i2]Boris Bonev, Jan S. Hesthaven:
A hierarchical preconditioner for wave problems in quasilinear complexity. CoRR abs/2105.07791 (2021)
2010 – 2019
- 2019
- [c1]Lukas Prantl, Boris Bonev, Nils Thuerey:
Generating Liquid Simulations with Deformation-aware Neural Networks. ICLR (Poster) 2019 - 2018
- [j1]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: 425-448 (2018) - 2017
- [i1]Boris Bonev, Lukas Prantl, Nils Thuerey:
Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. CoRR abs/1704.07854 (2017)
Coauthor Index
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last updated on 2024-09-13 00:33 CEST by the dblp team
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