Alberto Badías

18 papers Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Augmented Structure Preserving Neural Networks for cell biomechanics. CoRR Juan Olalla-Pombo, Alberto Badías, Miguel Ángel Sanz Gómez, José María Benítez, Francisco Javier Montáns
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
2024	J	`jnl`	Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Alberto Badías, Ashis G. Banerjee
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 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
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-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`	Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning. CoRR Alberto Badías, Ashis Banerjee
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	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
2018	—	`conf`	Improving the realism of mixed reality through physical simulation. SIGGRAPH Posters Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto