Jose Antonio Lara Benitez

According to our database, Jose Antonio Lara Benitez authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs.

Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic

Trans. Mach. Learn. Res., 2024

Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation.

Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop

J. Comput. Phys., 2024

Mixture of Experts Soften the Curse of Dimensionality in Operator Learning.

Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop

CoRR, 2024

2023

Fine-tuning Neural-Operator architectures for training and generalization.

Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop

CoRR, 2023

2021

Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs.

Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis

CoRR, 2021