Elías Cueto

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 31

Top Topics

Physical Systems

Revised Edition

Top Venues

Adv. Model. Simul. Eng. Sci.

J. Comput. Phys.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
Graph neural networks informed locally by thermodynamics. CoRR (2024)
Chady Ghnatios, Daniele Di Lorenzo, Victor Champaney, Amine Ammar, Elías Cueto, Francisco Chinesta
Optimal trajectory planning combining model-based and data-driven hybrid approaches. Adv. Model. Simul. Eng. Sci. 11 (1) (2024)
Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. CoRR (2024)
Carlos Bermejo-Barbanoj, Beatriz Moya, Alberto Badías, Francisco Chinesta, Elías Cueto
Thermodynamics-informed super-resolution of scarce temporal dynamics data. CoRR (2024)
Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
Thermodynamics-Informed Graph Neural Networks. IEEE Trans. Artif. Intell. 5 (3) (2024)
Abel Sancarlos, Victor Champaney, Elías Cueto, Francisco Chinesta
Regularized regressions for parametric models based on separated representations. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Francisco Chinesta, Elías Cueto
Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Quercus Hernández, Alberto Badias, Francisco Chinesta, Elías Cueto
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. CoRR (2022)
Quercus Hernández, Alberto Badias, Francisco Chinesta, Elías Cueto
Thermodynamics-informed neural networks for physically realistic mixed reality. CoRR (2022)
Elías Cueto, Francisco Chinesta
Thermodynamics of learning physical phenomena. CoRR (2022)
Alberto Badias, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Beatriz Moya, Alberto Badias, David González, Francisco Chinesta, Elías Cueto
Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. CoRR (2022)
Quercus Hernández, Alberto Badias, Francisco Chinesta, Elías Cueto
Thermodynamics-informed graph neural networks. CoRR (2022)
Beatriz Moya, Alberto Badias, David González, Francisco Chinesta, Elías Cueto
Physics perception in sloshing scenes with guaranteed thermodynamic consistency. CoRR (2021)
Abel Sancarlos, Victor Champaney, Jean-Louis Duval, Elías Cueto, Francisco Chinesta
PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit. CoRR (2021)
Abel Sancarlos, Morgan Cameron, Jean-Marc Le Peuvedic, Juliette Groulier, Jean-Louis Duval, Elías Cueto, Francisco Chinesta
Learning stable reduced-order models for hybrid twins. CoRR (2021)
Tarek Frahi, Abel Sancarlos, Matthieu Galle, Xavier Beaulieu, Anne Chambard, Antonio Falcó, Elías Cueto, Francisco Chinesta
Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis. CoRR (2021)
Angelo Pasquale, Amine Ammar, Antonio Falcó, Simona Perotto, Elías Cueto, Jean-Louis Duval, Francisco Chinesta
A separated representation involving multiple time scales within the Proper Generalized Decomposition framework. Adv. Model. Simul. Eng. Sci. 8 (1) (2021)
Quercus Hernandez, Alberto Badias, David González, Francisco Chinesta, Elías Cueto
Structure-preserving neural networks. J. Comput. Phys. 426 (2021)
Tarek Frahi, Abel Sancarlos, Mathieu Galle, Xavier Beaulieu, Anne Chambard, Antonio Falcó, Elías Cueto, Francisco Chinesta
Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis. Frontiers Artif. Intell. 4 (2021)
David González, Francisco Chinesta, Elías Cueto
Learning non-Markovian physics from data. J. Comput. Phys. 428 (2021)
Quercus Hernandez, Alberto Badias, David González, Francisco Chinesta, Elías Cueto
Deep learning of thermodynamics-aware reduced-order models from data. CoRR (2020)
Quercus Hernandez, Alberto Badias, David González, Francisco Chinesta, Elías Cueto
Structure-preserving neural networks. CoRR (2020)
Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka
Learning Physics from Data: A Thermodynamic Interpretation. SPIGL (2020)
Alberto Badias, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. CoRR (2020)
Chady Ghnatios, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
Data-Driven GENERIC Modeling of Poroviscoelastic Materials. Entropy 21 (12) (2019)
Alberto Badias, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
Improving the realism of mixed reality through physical simulation. SIGGRAPH Posters (2018)
Rubén Ibáñez, Emmanuelle Abisset-Chavanne, Amine Ammar, David González, Elías Cueto, Antonio Huerta, Jean-Louis Duval, Francisco Chinesta
A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. Complex. 2018 (2018)
Nicolas Bur, Pierre Joyot, Chady Ghnatios, Pierre Villon, Elías Cueto, Francisco Chinesta
On the use of model order reduction for simulating automated fibre placement processes. Adv. Model. Simul. Eng. Sci. 3 (1) (2016)
Carlos Quesada, David González, Icíar Alfaro, Elías Cueto, Antonio Huerta, Francisco Chinesta
Real-time simulation techniques for augmented learning in science and engineering. Vis. Comput. 32 (11) (2016)
Andrés Mena, David Bel, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
Towards a pancreatic surgery simulator based on model order reduction. Adv. Model. Simul. Eng. Sci. 2 (1) (2015)
Francisco Chinesta, Morgan Magnin, Olivier H. Roux, Amine Ammar, Elías Cueto
Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions. Entropy 17 (4) (2015)
Sergio Zlotnik, Pedro Díez, David González, Elías Cueto, Antonio Huerta
Effect of the separated approximation of input data in the accuracy of the resulting PGD solution. Adv. Model. Simul. Eng. Sci. 2 (1) (2015)
Icíar Alfaro, David González, Sergio Zlotnik, Pedro Díez, Elías Cueto, Francisco Chinesta
An error estimator for real-time simulators based on model order reduction. Adv. Model. Simul. Eng. Sci. 2 (1) (2015)
Elías Cueto, Francisco Chinesta
Real time simulation for computational surgery: a review. Adv. Model. Simul. Eng. Sci. 1 (1) (2014)
Carlos Quesada, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. ISBMS (2014)
David González, F. Masson, F. Poulhaon, Adrien Leygue, Elías Cueto, Francisco Chinesta
Proper Generalized Decomposition based dynamic data driven inverse identification. Math. Comput. Simul. 82 (9) (2012)
Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models. Comput. Methods Programs Biomed. 105 (1) (2012)
Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
Real-time deformable models of non-linear tissues by model reduction techniques. Comput. Methods Programs Biomed. 91 (3) (2008)
Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissues. ISBMS (2008)
David González, Elías Cueto, Francisco Chinesta, Manuel Doblaré
A natural element updated Lagrangian strategy for free-surface fluid dynamics. J. Comput. Phys. 223 (1) (2007)