Quercus Hernandez

According to our database, Quercus Hernandez authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Thermodynamics-Informed Graph Neural Networks.

Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto

IEEE Trans. Artif. Intell., March, 2024

2022

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.

Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto

CoRR, 2022

Thermodynamics-informed neural networks for physically realistic mixed reality.

Quercus Hernández, Alberto Badías, Francisco Chinesta, Elías Cueto

CoRR, 2022

2021

Structure-preserving neural networks.

Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto

J. Comput. Phys., 2021

2020

Deep learning of thermodynamics-aware reduced-order models from data.

Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto

CoRR, 2020

2017

DeepToF: off-the-shelf real-time correction of multipath interference in time-of-flight imaging.

Julio Marco, Quercus Hernandez, Adolfo Muñoz, Yue Dong, Adrián Jarabo, Min H. Kim, Xin Tong, Diego Gutierrez

ACM Trans. Graph., 2017

A Computational Model of a Single-Photon Avalanche Diode Sensor for Transient Imaging.

Quercus Hernandez, Diego Gutierrez, Adrián Jarabo

CoRR, 2017