MS005A Deep Learning Computing I
MS Corresponding Organizer: Dr. David Pardo Zubiaur (University of the Basque Country (UPV/EHU))
Chaired by:
Dr. David Pardo Zubiaur (University of the Basque Country (UPV/EHU) , Spain) , Prof. Santiago Badia (Monash University , Australia)
Dr. David Pardo Zubiaur (University of the Basque Country (UPV/EHU) , Spain) , Prof. Santiago Badia (Monash University , Australia)
Scheduled presentations:
-
Regularity-Conforming Neural Networks for PDEs
J. Taylor* -
Keynote
Accurate Solution of Initial and Boundary-Value Problems using Multi-level Neural Networks
Z. Aldirany, R. Cottereau, M. Laforest, S. Prudhomme* -
High-order well-balanced numerical schemes for shallow-water systems with Coriolis terms
M. Castro, J. García-Rodríguez, V. Gonzalez-Tabernero*, J. Lopez-Salas, J. Perez-Villarino -
Current Progress on the Appromation of Hyperbolic Balance Laws Using Physics-Informed Neural Networks (PINNs) and Weak PINNs (WPINNs)
L. Ávila León*, M. Castro Díaz -
Wave Maximum Height Inferences with Neural Networks for Spanish Tsunami Early Warning System
J. Rodríguez Gálvez*, J. Macías, B. Gaite, M. Castro, J. Cantavella, L. Puertas -
Robust Variational Physics-Informed Neural Networks
S. Rojas, M. Paszynski, P. Maczuga, J. Muñoz-Matute*, D. Pardo