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Elías Cueto
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- affiliation: University of Zaragoza, Spain
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2020 – today
- 2024
- [j23]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): 10 (2024) - [j22]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-Informed Graph Neural Networks. IEEE Trans. Artif. Intell. 5(3): 967-976 (2024) - [i17]Carlos Bermejo-Barbanoj, Beatriz Moya, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-informed super-resolution of scarce temporal dynamics data. CoRR abs/2402.17506 (2024) - [i16]Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. CoRR abs/2404.01060 (2024) - [i15]Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
Graph neural networks informed locally by thermodynamics. CoRR abs/2405.13093 (2024) - [i14]Alicia Tierz, Mikel M. Iparraguirre, Icíar Alfaro, David Gonzalez, Francisco Chinesta, Elías Cueto:
On the feasibility of foundational models for the simulation of physical phenomena. CoRR abs/2410.14645 (2024) - [i13]Lucas Tesán, David González, Pedro Martins, Elías Cueto:
Thermodynamics-informed graph neural networks for real-time simulation of digital human twins. CoRR abs/2412.12034 (2024) - 2023
- [j21]Abel Sancarlos, Victor Champaney, Elías Cueto, Francisco Chinesta:
Regularized regressions for parametric models based on separated representations. Adv. Model. Simul. Eng. Sci. 10(1): 4 (2023) - [j20]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): 2136-2150 (2023) - 2022
- [j19]Francisco Chinesta, Elías Cueto:
Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. Adv. Model. Simul. Eng. Sci. 9(1): 21 (2022) - [j18]Alberto Badías, 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): 7764-7777 (2022) - [i12]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-informed graph neural networks. CoRR abs/2203.01874 (2022) - [i11]Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. CoRR abs/2203.05775 (2022) - [i10]Elías Cueto, Francisco Chinesta:
Thermodynamics of learning physical phenomena. CoRR abs/2207.12749 (2022) - [i9]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-informed neural networks for physically realistic mixed reality. CoRR abs/2210.13414 (2022) - [i8]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. CoRR abs/2211.01873 (2022) - 2021
- [j17]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): 26 (2021) - [j16]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: 761123 (2021) - [j15]Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Structure-preserving neural networks. J. Comput. Phys. 426: 109950 (2021) - [j14]David González, Francisco Chinesta, Elías Cueto:
Learning non-Markovian physics from data. J. Comput. Phys. 428: 109982 (2021) - [i7]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 abs/2103.05358 (2021) - [i6]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 abs/2106.03464 (2021) - [i5]Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Physics perception in sloshing scenes with guaranteed thermodynamic consistency. CoRR abs/2106.13301 (2021) - [i4]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 abs/2108.08570 (2021) - 2020
- [c4]Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka:
Learning Physics from Data: A Thermodynamic Interpretation. SPIGL 2020: 276-297 - [i3]Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Structure-preserving neural networks. CoRR abs/2004.04653 (2020) - [i2]Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Deep learning of thermodynamics-aware reduced-order models from data. CoRR abs/2007.03758 (2020) - [i1]Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. CoRR abs/2009.00576 (2020)
2010 – 2019
- 2019
- [j13]Chady Ghnatios, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
Data-Driven GENERIC Modeling of Poroviscoelastic Materials. Entropy 21(12): 1165 (2019) - 2018
- [j12]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: 5608286:1-5608286:11 (2018) - [c3]Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
Improving the realism of mixed reality through physical simulation. SIGGRAPH Posters 2018: 22:1-22:2 - 2016
- [j11]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): 4:1-4:18 (2016) - [j10]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): 1465-1479 (2016) - 2015
- [j9]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): 28:1-28:14 (2015) - [j8]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): 30:1-30:16 (2015) - [j7]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): 31:1-31:16 (2015) - [j6]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): 1896-1915 (2015) - 2014
- [j5]Elías Cueto, Francisco Chinesta:
Real time simulation for computational surgery: a review. Adv. Model. Simul. Eng. Sci. 1(1): 11:1-11:18 (2014) - [c2]Carlos Quesada, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta:
PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. ISBMS 2014: 193-202 - 2012
- [j4]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): 1-12 (2012) - [j3]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): 1677-1695 (2012)
2000 – 2009
- 2008
- [j2]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): 223-231 (2008) - [c1]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: 11-18 - 2007
- [j1]David González, Elías Cueto, Francisco Chinesta, Manuel Doblaré:
A natural element updated Lagrangian strategy for free-surface fluid dynamics. J. Comput. Phys. 223(1): 127-150 (2007)
Coauthor Index
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