Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation JAL Benitez, T Furuya, F Faucher, A Kratsios, X Tricoche, MV de Hoop Journal of Computational Physics, 113168, 2024 | 23* | 2024 |
Harmonized pre-crash scenarios for reaching global vision zero A Lara, J Skvarce, H Feifel, M Wagner, T Tengeiji Proceedings of the 26th International Technical Conference on the Enhanced …, 2019 | 7 | 2019 |
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning A Kratsios, T Furuya, JA Lara Benitez, M Lassas, M de Hoop arXiv preprint arXiv:2404.09101, 2024 | | 2024 |
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs T Liu, JAL Benitez, A Khorashadizadeh, F Faucher, MV de Hoop, ... Transactions on Machine Learning Research Journal, 2024 | | 2024 |
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs JL Kim, JA Benitez, MT Toghani, C Wolfe, Z Zhang, A Kyrillidis arXiv preprint arXiv:2106.08775, 2021 | | 2021 |
An approach to F. Riesz representation Theorem R del Rio, AL Franco, JA Lara Cubo (Temuco) 20 (2), 1-12, 2018 | | 2018 |