Elías Cueto

Orcid: 0000-0003-1017-4381

Affiliations:

University of Zaragoza, Spain

According to our database¹, Elías Cueto authored at least 38 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of five.

Timeline

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In proceedings

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Bibliography

2024

Optimal trajectory planning combining model-based and data-driven hybrid approaches.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., December, 2024

Thermodynamics-Informed Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., March, 2024

Graph neural networks informed locally by thermodynamics.

[BibT_eX]

[DOI]

CoRR, 2024

A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Thermodynamics-informed super-resolution of scarce temporal dynamics data.

[BibT_eX]

[DOI]

Carlos Bermejo-Barbanoj

CoRR, 2024

2023

Regularized regressions for parametric models based on separated representations.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., December, 2023

Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.

[BibT_eX]

[DOI]

CoRR, 2022

Thermodynamics-informed neural networks for physically realistic mixed reality.

[BibT_eX]

[DOI]

CoRR, 2022

Thermodynamics of learning physical phenomena.

[BibT_eX]

[DOI]

Elías Cueto

Francisco Chinesta

CoRR, 2022

Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids.

[BibT_eX]

[DOI]

CoRR, 2022

Empowering engineering with data, machine learning and artificial intelligence: a short introductive review.

[BibT_eX]

[DOI]

Francisco Chinesta

Elías Cueto

Adv. Model. Simul. Eng. Sci., 2022

2021

Structure-preserving neural networks.

[BibT_eX]

[DOI]

J. Comput. Phys., 2021

Learning non-Markovian physics from data.

[BibT_eX]

[DOI]

David González

Francisco Chinesta

Elías Cueto

J. Comput. Phys., 2021

Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Learning stable reduced-order models for hybrid twins.

[BibT_eX]

[DOI]

Abel Sancarlos

Morgan Cameron

Jean-Marc Le Peuvedic

CoRR, 2021

PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit.

[BibT_eX]

[DOI]

CoRR, 2021

A separated representation involving multiple time scales within the Proper Generalized Decomposition framework.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., 2021

2020

Deep learning of thermodynamics-aware reduced-order models from data.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Physics from Data: A Thermodynamic Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2019

Data-Driven GENERIC Modeling of Poroviscoelastic Materials.

[BibT_eX]

[DOI]

Entropy, 2019

2018

A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition.

[BibT_eX]

[DOI]

Rubén Ibáñez

Emmanuelle Abisset-Chavanne

Complex., 2018

Improving the realism of mixed reality through physical simulation.

[BibT_eX]

[DOI]

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

2016

Real-time simulation techniques for augmented learning in science and engineering.

[BibT_eX]

[DOI]

Vis. Comput., 2016

On the use of model order reduction for simulating automated fibre placement processes.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., 2016

2015

Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions.

[BibT_eX]

[DOI]

Entropy, 2015

Effect of the separated approximation of input data in the accuracy of the resulting PGD solution.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., 2015

Towards a pancreatic surgery simulator based on model order reduction.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., 2015

An error estimator for real-time simulators based on model order reduction.

[BibT_eX]

[DOI]

Adv. Model. Simul. Eng. Sci., 2015

2014

Real time simulation for computational surgery: a review.

[BibT_eX]

[DOI]

Elías Cueto

Francisco Chinesta

Adv. Model. Simul. Eng. Sci., 2014

PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Simulation - 6th International Symposium, 2014

2012

Proper Generalized Decomposition based dynamic data driven inverse identification.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2012

Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2012

2008

Real-time deformable models of non-linear tissues by model reduction techniques.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2008

On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissues.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Simulation, 4th International Symposium, 2008

2007

A natural element updated Lagrangian strategy for free-surface fluid dynamics.

[BibT_eX]

[DOI]

J. Comput. Phys., 2007

Elías Cueto

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