Jose Antonio Lara Benitez

According to our database, Jose Antonio Lara Benitez authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Determinantal Approach to a Sharp ℓ¹-ℓ^∞-ℓ² Norm Inequality.

Jose Antonio Lara Benitez

CoRR, April, 2026

Neural Operators Can Discover Functional Clusters.

Yicen Li, Jose Antonio Lara Benitez, Ruiyang Hong, Anastasis Kratsios, Paul David McNicholas, Maarten V. de Hoop

CoRR, February, 2026

Hybrid operator learning of wave scattering maps in high-contrast media.

Advait Balaji, Trevor Teolis, S. David Mis, Jose Antonio Lara Benitez, Chao Wang, Maarten V. de Hoop

CoRR, February, 2026

2025

Neural equilibria for long-term prediction of nonlinear conservation laws.

Jose Antonio Lara Benitez, Junyi Guo, Kareem Hegazy, Ivan Dokmanic, Michael W. Mahoney, Maarten V. de Hoop

CoRR, January, 2025

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