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ORCIDJose Antonio Lara Benitez
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Journal Articles
- 2024
[j2]Jose Antonio Lara Benitez
, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop:
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation. J. Comput. Phys. 513: 113168 (2024)- [j1]Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic:
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. 2024 (2024)
Informal and Other Publications
- 2024
- [i3]Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop:
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR abs/2404.09101 (2024) - 2023
- [i2]Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop:
Fine-tuning Neural-Operator architectures for training and generalization. CoRR abs/2301.11509 (2023) - 2021
- [i1]Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis:
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. CoRR abs/2106.08775 (2021)
Coauthor Index
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