Cueto, Elias

1. A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids
   2022/03/11 by Beatriz Moya, Alberto Badías, Moya, Beatriz +7 · 3 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management
2. Thermodynamics of learning physical phenomena
   2022/07/26 by Cueto, Elias, Chinesta, Francisco · 2 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistical Mechanics (cond-mat.stat-mech)
3. Physics perception in sloshing scenes with guaranteed thermodynamic consistency
   2021/06/24 by Beatriz Moya, Moya, Beatriz, Alberto Badías +7 · 2 citations
   Earth and Planetary Sciences · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fluid Dynamics Simulations and Interactions #Machine Learning (cs.LG) #Underwater Acoustics Research #Underwater Vehicles and Communication Systems
4. Learning Physics from Data: a Thermodynamic Interpretation
   2019/09/03 by Chinesta, Francisco, Cueto, Elias, Grmela, Miroslav +3 · 1 citation
   #Adaptation and Self-Organizing Systems (nlin.AO) #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
5. On the feasibility of foundational models for the simulation of physical phenomena
   2024/10/04 by Tierz, Alicia, Iparraguirre, Mikel M., Alfaro, Iciar +3 · 3 citations
   #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
6. PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit
   2021/03/09 by Abel Sancarlos, Victor Champaney, Sancarlos, Abel +7 · 1 citation
   Decision Sciences · Engineering · Physics and Astronomy · #Computational Engineering #FOS: Computer and information sciences #Finance #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design #and Science (cs.CE)
7. On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition
   2025/07/09 by Lucas Tesan, Tesan, Lucas, Mikel M. Iparraguirre +7 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications