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Quercus Hernández
Quercus Hernández
Postdoc Researcher, University of Pennsylvania
在 seas.upenn.edu 的电子邮件经过验证 - 首页
标题
引用次数
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年份
Deeptof: off-the-shelf real-time correction of multipath interference in time-of-flight imaging
J Marco, Q Hernandez, A Munoz, Y Dong, A Jarabo, MH Kim, X Tong, ...
ACM Transactions on Graphics (ToG) 36 (6), 1-12, 2017
2232017
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
862021
Structure-preserving neural networks
Q Hernández, A Badías, D González, F Chinesta, E Cueto
Journal of Computational Physics 426, 109950, 2021
862021
Thermodynamics-informed graph neural networks
Q Hernández, A Badías, F Chinesta, E Cueto
arXiv preprint arXiv:2203.01874, 2022
492022
A computational model of a single-photon avalanche diode sensor for transient imaging
Q Hernandez, D Gutierrez, A Jarabo
arXiv preprint arXiv:1703.02635, 2017
402017
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
182023
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
152023
Failure properties of vena cava tissue due to deep penetration during filter insertion
Q Hernández, E Peña
Biomechanics and modeling in mechanobiology 15, 845-856, 2016
152016
Deeptof: Off-theshelf real-time correction of multipath interference in timeof-flight imaging
J Marco, Q Hernandez, A Munoz, Y Dong, A Jarabo, MH Kim, X Tong, ...
ACM Trans. Graph 36 (6), 219, 0
3
Simuladores físicos en realidad mixta mediante IA
Q Hernández, A Badías, F Chinesta, E Cueto
Jornada de Jóvenes Investigadores del I3A 11, 2023
2023
Thermodynamics-informed learning of interpretable models
IA Ruiz, Q Hernández, AB Herbera, EC Prendes
Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de …, 2022
2022
Learning mechanics with geometry and thermodynamics
Q Hernández, A Badıas, D González, F Chinesta, E Cueto
Congress on Numerical Methods in Engineering CMN 2022 (2022. Las Palmas de …, 2022
2022
Hacia un científico digital
Q Hernández, A Badías, D González, E Cueto, F Chinesta
Jornada de Jóvenes Investigadores del I3A 8, 2020
2020
Towards the simulation of complex systems: Port-Metriplectic Neural Networks
A Badıas, Q Hernández, F Chinesta, E Cueto
AI-enhanced interactive simulators for virtual reality applications
Q Hernández, A Badıas, F Chinesta, E Cueto
Thermodynamics-informed learning of interpretable models
I Alfaro, Q Hernández, A Badıas, E Cueto
Deep learning of fluid dynamics from free surface data for full state reconstruction and correction
B Moya, A Badıas, Q Hernández, D González, I Alfaro, F Chinesta, ...
Learning Physics through Themodynamically-Informed Neural Networks
Q Hernández, A Badıas, D González, F Chinesta, E Cueto
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