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Chinesta, Francisco

  1. A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids
    2022/03/11 by Beatriz Moya, Moya, Beatriz, Alberto Badías +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. 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)
  4. A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks
    2024/04/01 by Urdeitx, Pau, Alfaro, Icíar, González, David +2 · 2 citations
    #FOS: Computer and information sciences #I.2.6 #K.3.2 #Machine Learning (cs.LG)
  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. Rank Reduction Autoencoders
    2024/05/22 by Mounayer, Jad, Rodriguez, Sebastian, Ghnatios, Chady +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Physics perception in sloshing scenes with guaranteed thermodynamic consistency
    2021/06/24 by Beatriz Moya, Moya, Beatriz, Alberto Badías +7 · 1 citation
    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
  9. A time multiscale based data-driven approach in cyclic elasto-plasticity
    2023/08/24 by Sebastian Rodriguez, Angelo Pasquale, Rodriguez, Sebastian +7 · 1 citation
    Engineering · Physics and Astronomy · #Applied Physics (physics.app-ph) #Composite Material Mechanics #Computational Engineering #Elasticity and Material Modeling #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Model Reduction and Neural Networks #and Science (cs.CE)
  10. A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
    2024/12/10 by Guillaume de Romémont, Florent Renac, de Romémont, Guillaume +5 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Mathematics #Lattice Boltzmann Simulation Studies #Model Reduction and Neural Networks #Numerical Analysis (math.NA)