Elías Cueto - RankMe

51 papers Journal 47Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MeshGraphNet-Transformer: Scalable Mesh-based Learned Simulation for Solid Mechanics. CoRR Mikel M. Iparraguirre, Icíar Alfaro, David González, Elías Cueto
2026	J	`jnl`	Variational Graph Neural Networks for Uncertainty Quantification in Inverse Problems. CoRR David González, Alba Muixi, Beatriz Moya, Elías Cueto
2025	J	`jnl`	A neural network architecture for physically-consistent haptic rendering. Virtual Real. Quercus Hernández, Pedro Martins, Lucas Tesán, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Can Transformers overcome the lack of data in the simulation of history-dependent flows? CoRR Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Graph neural networks informed locally by thermodynamics. Eng. Appl. Artif. Intell. Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Meshgraphnets informed locally by thermodynamics for the simulation of flows around arbitrarily shaped objects. Adv. Model. Simul. Eng. Sci. Carlos Bermejo-Barbanoj, Alberto Badías, David González, Elías Cueto
2025	J	`jnl`	On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition. CoRR Lucas Tesán, Mikel M. Iparraguirre, David González, Pedro Martins, Elías Cueto
2024	J	`jnl`	A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. CoRR Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	Graph neural networks informed locally by thermodynamics. CoRR Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	On the feasibility of foundational models for the simulation of physical phenomena. CoRR Alicia Tierz, Mikel M. Iparraguirre, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	Optimal trajectory planning combining model-based and data-driven hybrid approaches. Adv. Model. Simul. Eng. Sci. Chady Ghnatios, Daniele Di Lorenzo, Victor Champaney, Amine Ammar, Elías Cueto, Francisco Chinesta
2024	J	`jnl`	Thermodynamics-Informed Graph Neural Networks. IEEE Trans. Artif. Intell. Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	Thermodynamics-informed graph neural networks for real-time simulation of digital human twins. CoRR Lucas Tesán, David González, Pedro Martins, Elías Cueto
2024	J	`jnl`	Thermodynamics-informed super-resolution of scarce temporal dynamics data. CoRR Carlos Bermejo-Barbanoj, Beatriz Moya, Alberto Badías, Francisco Chinesta, Elías Cueto
2023	J	`jnl`	Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. IEEE Trans. Pattern Anal. Mach. Intell. Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2023	J	`jnl`	Regularized regressions for parametric models based on separated representations. Adv. Model. Simul. Eng. Sci. Abel Sancarlos, Victor Champaney, Elías Cueto, Francisco Chinesta
2022	J	`jnl`	Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. Adv. Model. Simul. Eng. Sci. Francisco Chinesta, Elías Cueto
2022	J	`jnl`	MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. IEEE Trans. Pattern Anal. Mach. Intell. Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. CoRR Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. CoRR Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	Thermodynamics of learning physical phenomena. CoRR Elías Cueto, Francisco Chinesta
2022	J	`jnl`	Thermodynamics-informed graph neural networks. CoRR Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	Thermodynamics-informed neural networks for physically realistic mixed reality. CoRR Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	A separated representation involving multiple time scales within the Proper Generalized Decomposition framework. Adv. Model. Simul. Eng. Sci. Angelo Pasquale, Amine Ammar, Antonio Falcó, Simona Perotto, Elías Cueto, Jean-Louis Duval, Francisco Chinesta
2021	J	`jnl`	Learning non-Markovian physics from data. J. Comput. Phys. David González, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	Learning stable reduced-order models for hybrid twins. CoRR Abel Sancarlos, Morgan Cameron, Jean-Marc Le Peuvedic, Juliette Groulier, Jean-Louis Duval, Elías Cueto, Francisco Chinesta
2021	J	`jnl`	Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis. Frontiers Artif. Intell. Tarek Frahi, Abel Sancarlos, Mathieu Galle, Xavier Beaulieu, Anne Chambard, Antonio Falcó, Elías Cueto, Francisco Chinesta
2021	J	`jnl`	Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis. CoRR Tarek Frahi, Abel Sancarlos, Matthieu Galle, Xavier Beaulieu, Anne Chambard, Antonio Falcó, Elías Cueto, Francisco Chinesta
2021	J	`jnl`	PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit. CoRR Abel Sancarlos, Victor Champaney, Jean-Louis Duval, Elías Cueto, Francisco Chinesta
2021	J	`jnl`	Physics perception in sloshing scenes with guaranteed thermodynamic consistency. CoRR Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	Structure-preserving neural networks. J. Comput. Phys. Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2020	J	`jnl`	Deep learning of thermodynamics-aware reduced-order models from data. CoRR Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2020	—	`conf`	Learning Physics from Data: A Thermodynamic Interpretation. SPIGL Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka
2020	J	`jnl`	MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. CoRR Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2020	J	`jnl`	Structure-preserving neural networks. CoRR Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2019	J	`jnl`	Data-Driven GENERIC Modeling of Poroviscoelastic Materials. Entropy Chady Ghnatios, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2018	J	`jnl`	A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. Complex. Rubén Ibáñez, Emmanuelle Abisset-Chavanne, Amine Ammar, David González, Elías Cueto, Antonio Huerta, Jean-Louis Duval, Francisco Chinesta
2018	—	`conf`	Improving the realism of mixed reality through physical simulation. SIGGRAPH Posters Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2016	J	`jnl`	On the use of model order reduction for simulating automated fibre placement processes. Adv. Model. Simul. Eng. Sci. Nicolas Bur, Pierre Joyot, Chady Ghnatios, Pierre Villon, Elías Cueto, Francisco Chinesta
2016	J	`jnl`	Real-time simulation techniques for augmented learning in science and engineering. Vis. Comput. Carlos Quesada, David González, Icíar Alfaro, Elías Cueto, Antonio Huerta, Francisco Chinesta
2015	J	`jnl`	An error estimator for real-time simulators based on model order reduction. Adv. Model. Simul. Eng. Sci. Icíar Alfaro, David González, Sergio Zlotnik, Pedro Díez, Elías Cueto, Francisco Chinesta
2015	J	`jnl`	Effect of the separated approximation of input data in the accuracy of the resulting PGD solution. Adv. Model. Simul. Eng. Sci. Sergio Zlotnik, Pedro Díez, David González, Elías Cueto, Antonio Huerta
2015	J	`jnl`	Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions. Entropy Francisco Chinesta, Morgan Magnin, Olivier H. Roux, Amine Ammar, Elías Cueto
2015	J	`jnl`	Towards a pancreatic surgery simulator based on model order reduction. Adv. Model. Simul. Eng. Sci. Andrés Mena, David Bel, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
2014	—	`conf`	PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. ISBMS Carlos Quesada, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
2014	J	`jnl`	Real time simulation for computational surgery: a review. Adv. Model. Simul. Eng. Sci. Elías Cueto, Francisco Chinesta
2012	J	`jnl`	Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models. Comput. Methods Programs Biomed. Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
2012	J	`jnl`	Proper Generalized Decomposition based dynamic data driven inverse identification. Math. Comput. Simul. David González, F. Masson, F. Poulhaon, Adrien Leygue, Elías Cueto, Francisco Chinesta
2008	—	`conf`	On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissues. ISBMS Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
2008	J	`jnl`	Real-time deformable models of non-linear tissues by model reduction techniques. Comput. Methods Programs Biomed. Siamak Niroomandi, Icíar Alfaro, Elías Cueto, Francisco Chinesta
2007	J	`jnl`	A natural element updated Lagrangian strategy for free-surface fluid dynamics. J. Comput. Phys. David González, Elías Cueto, Francisco Chinesta, Manuel Doblaré