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Regularized regressions for parametric models based on separated representations

Abel Sancarlos , Victor Champaney , Elias Cueto , Francisco Chinesta
Advanced Modeling and Simulation in Engineering Sciences, 2023, 10, pp.1-26. ⟨10.1186/s40323-023-00240-4⟩
Journal articles hal-04163203v1
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Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency

Beatriz Moya , Alberto Badias , David Gonzalez , Francisco Chinesta , Elias Cueto
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (2), pp.2136-2150. ⟨10.1109/TPAMI.2022.3160100⟩
Journal articles hal-04094265v1
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Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems

Quercus Hernández , Alberto Badías , Francisco Chinesta , Elías Cueto
Computational Mechanics, 2023, 72, pp.553-561. ⟨10.1007/s00466-023-02296-w⟩
Journal articles hal-04163352v1
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A thermodynamics-informed active learning approach to perception and reasoning about fluids

Beatriz Moya , Alberto Badías , David González , Francisco Chinesta , Elías Cueto
Computational Mechanics, 2023, ⟨10.1007/s00466-023-02279-x⟩
Journal articles hal-04086391v1
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Thermodynamics-informed neural networks for physically realistic mixed reality

Quercus Hernández , Alberto Badías , Francisco Chinesta , Elías Cueto
Computer Methods in Applied Mechanics and Engineering, 2023, 407, pp.115912. ⟨10.1016/j.cma.2023.115912⟩
Journal articles hal-04073075v1