MS005D Deep Learning Computing IV
MS Corresponding Organizer: Dr. David Pardo Zubiaur (University of the Basque Country (UPV/EHU))
Chaired by:
Dr. Jamie M Taylor (CUNEF Universidad , Spain) , Dr. Pedro Martins (Aragon Institute in Engineering Research. Universidad de Zaragoza , Spain)
Dr. Jamie M Taylor (CUNEF Universidad , Spain) , Dr. Pedro Martins (Aragon Institute in Engineering Research. Universidad de Zaragoza , Spain)
Scheduled presentations:
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Geometric Neural Operators for Bayesian Inverse Problems and Optimization Under Uncertainty
O. Ghattas*, L. Cao, P. Chen, D. Luo, T. O'Leary-Roseberry, U. Villa -
Generating Efficient Randomized Quadrature Rules for 2D and 3D Trunk Spaces using Machine Learning
T. Teijeiro*, D. Pardo, V. Calo -
ELM type neural networks in scientific computing
D. De Falco*, E. Schiassi, F. Calabrò, M. Pragliola -
Goal-Oriented Adaptivity for solving Partial Differential Equations using Neural Networks
C. Uriarte*, D. Pardo, J. Taylor, V. Calo, I. Muga -
Injecting physics into deep learning based reduced order models: methods for exact mass conservation
N. Franco*, W. Boon, A. Fumagalli, P. Zunino -
Neural Integration for Constitutive Equations in Small Data
F. Masi*, I. Einav
