Neural operators with localized integral and differential kernels
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
under review, 2024
Neural operators with localized integral and differential kernelsMiguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar under review, 2024 | |
A Practical Probabilistic Benchmark for AI Weather ModelsNoah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard under review, 2024 | |
Guaranteed Approximation Bounds for Mixed-Precision Neural OperatorsRenbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar International Conferenceon Learning Representations (ICLR), 2023 | |
ACE: A fast, skillful learned global atmospheric model for climate predictionOliver 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 Under review, 2023 | |
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix MeshMatthias Karlbauer, Nathaniel Cresswell-Clay, Dale R Durran, Raul A Moreno, Thorsten Kurth, Boris Bonev, Noah Brenowitz, Martin V Butz under review, 2023 | |
Spherical Fourier neural operators: learning stable dynamics on the sphereBoris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar International Conference on Machine Learning (ICML), 2023 | |
Efficient algorithms for wave problemsBoris Bonev PhD Thesis, Applied Mathematics, EPFL, 2021 | |
A hierarchical preconditioner for wave problems in quasilinear complexityBoris Bonev, Jan S. Hesthaven SIAM: Journal on Scientific Computing, 2020 | |
A comparative study of earthquake source models in high-order accurate tsunami simulationsHajihassanpour, Mahya; Bonev, Boris; Hesthaven, Jan S. Ocean Modelling, 2019 | |
Generating Liquid Simulations with Deformation-aware Neural NetworksPrantl, Lukas; Bonev, Boris; Thuerey Nils International Conference on Learning Representations (ICLR), 2018 | |
Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and predictionBoris Bonev, Jan S. Hesthaven, Francis X. Giraldo, Michal A. Kopera Journal of Computational Physics (JCP), 2018 |