Beatriz Moya

According to our database, Beatriz Moya authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs.

Federico Pichi, Beatriz Moya, Jan S. Hesthaven

J. Comput. Phys., March, 2024

Resilience-based post disaster recovery optimization for infrastructure system via Deep Reinforcement Learning.

Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi

CoRR, 2024

Thermodynamics-informed super-resolution of scarce temporal dynamics data.

Carlos Bermejo-Barbanoj, Beatriz Moya, Alberto Badías, Francisco Chinesta, Elías Cueto

CoRR, 2024

2023

Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency.

Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids.

Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto

CoRR, 2022

2020

Learning Physics from Data: A Thermodynamic Interpretation.

Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020