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Alberto Badías
Alberto Badías
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Title
Cited by
Cited by
Year
Deep learning of thermodynamics-aware reduced-order models from data
Q Hernandez, A Badias, D Gonzalez, F Chinesta, E Cueto
Computer Methods in Applied Mechanics and Engineering 379, 113763, 2021
752021
Structure-preserving neural networks
Q Hernández, A Badías, D González, F Chinesta, E Cueto
Journal of Computational Physics 426, 109950, 2021
702021
Digital twins that learn and correct themselves
B Moya, A Badías, I Alfaro, F Chinesta, E Cueto
International Journal for Numerical Methods in Engineering 123 (13), 3034-3044, 2022
522022
Model order reduction for real-time data assimilation through extended Kalman filters
D González, A Badias, I Alfaro, F Chinesta, E Cueto
Computer Methods in Applied Mechanics and Engineering 326, 679-693, 2017
422017
Reduced order modeling for physically-based augmented reality
A Badías, I Alfaro, D González, F Chinesta, E Cueto
Computer Methods in Applied Mechanics and Engineering 341, 53-70, 2018
362018
Thermodynamics-informed graph neural networks
Q Hernandez, A Badias, F Chinesta, E Cueto
arXiv preprint arXiv:2203.01874, 2022
342022
An augmented reality platform for interactive aerodynamic design and analysis
A Badías, S Curtit, D González, I Alfaro, F Chinesta, E Cueto
International Journal for Numerical Methods in Engineering 120 (1), 125-138, 2019
282019
Local proper generalized decomposition
A Badías, D González, I Alfaro, F Chinesta, E Cueto
International Journal for Numerical Methods in Engineering 112 (12), 1715-1732, 2017
282017
Real‐time interaction of virtual and physical objects in mixed reality applications
A Badías, D González, I Alfaro, F Chinesta, E Cueto
International Journal for Numerical Methods in Engineering 121 (17), 3849-3868, 2020
192020
Morph-dslam: Model order reduction for physics-based deformable slam
A Badias, I Alfaro, D Gonzalez, F Chinesta, E Cueto
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7764 …, 2021
122021
Thermodynamics-informed neural networks for physically realistic mixed reality
Q Hernández, A Badías, F Chinesta, E Cueto
Computer Methods in Applied Mechanics and Engineering 407, 115912, 2023
112023
Physics perception in sloshing scenes with guaranteed thermodynamic consistency
B Moya, A Badias, D Gonzalez, F Chinesta, E Cueto
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2136-2150, 2022
112022
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Q Hernández, A Badías, F Chinesta, E Cueto
Computational Mechanics 72 (3), 553-561, 2023
92023
Empowering advanced driver-assistance systems from topological data analysis
T Frahi, F Chinesta, A Falcó, A Badias, E Cueto, HY Choi, M Han, ...
Mathematics 9 (6), 634, 2021
92021
RGB-D computer vision techniques for simulated prosthetic vision
J Bermudez-Cameo, A Badias-Herbera, M Guerrero-Viu, G Lopez-Nicolas, ...
Pattern Recognition and Image Analysis: 8th Iberian Conference, IbPRIA 2017 …, 2017
72017
A thermodynamics-informed active learning approach to perception and reasoning about fluids
B Moya, A Badías, D González, F Chinesta, E Cueto
Computational Mechanics 72 (3), 577-591, 2023
52023
Physics-informed reinforcement learning for perception and reasoning about fluids
B Moya, A Badias, D Gonzalez, F Chinesta, E Cueto
arXiv e-prints, arXiv: 2203.05775, 2022
42022
An open-source development based on photogrammetry for a real-time IORT treatment planning system
S Lozares-Cordero, C Bermejo-Barbanoj, A Badías-Herbera, ...
Physica Medica 112, 102622, 2023
12023
Neural network layer algebra: A framework to measure capacity and compression in deep learning
A Badías, AG Banerjee
IEEE Transactions on Neural Networks and Learning Systems, 2023
12023
Hybrid twins. Part ii. Real-time, data-driven modeling
E Cueto, D González, A Badías, F Chinesta, N Hascoet, JL Duval
Prof. Anne Marie Habraken, 2021
12021
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Articles 1–20