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ORCIDAlberto Badías
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- affiliation: University of Zaragoza, Zaragoza, Spain
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Journal Articles
- 2024
[j4]Quercus Hernández
, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-Informed Graph Neural Networks. IEEE Trans. Artif. Intell. 5(3): 967-976 (2024)- 2023
- [j3]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
- [j2]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) - 2021
- [j1]Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Structure-preserving neural networks. J. Comput. Phys. 426: 109950 (2021)
Conference and Workshop Papers
- 2018
- [c2]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 - 2017
- [c1]Jesus Bermudez-Cameo, Alberto Badías-Herbera, Manuel Guerrero-Viu, Gonzalo López-Nicolás, José Jesús Guerrero:
RGB-D Computer Vision Techniques for Simulated Prosthetic Vision. IbPRIA 2017: 427-436
Informal and Other Publications
- 2024
- [i10]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) - 2022
- [i9]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-informed graph neural networks. CoRR abs/2203.01874 (2022) - [i8]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) - [i7]Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto:
Thermodynamics-informed neural networks for physically realistic mixed reality. CoRR abs/2210.13414 (2022) - [i6]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
- [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]Alberto Badías, Ashis Banerjee:
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. CoRR abs/2107.01081 (2021) - 2020
- [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)
Coauthor Index
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