Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation JAL Benitez, T Furuya, F Faucher, X Tricoche, MV de Hoop | 20* | 2023 |
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 |