Generative model approach on TFM data based on variational inference for muti-fidelity data generation

Gerardo Granados (1) , Giorgia Colombera (2) , Filippo Gatti (2) , Roberto Miorelli (1) , Didier Clouteau (2) , Sébastien Robert (3)

1 LSME (CEA, LIST) - Laboratoire de Simulation et de Modélisation Électromagnétique (CEA, LIST)
2 LMPS - Laboratoire de Mécanique Paris-Saclay
3 LIC (CEA, LIST) - Laboratoire Instrumentation et Capteurs (CEA, LIST)

Domaines: Intelligence artificielle [cs.AI]; Acoustique [physics.class-ph]

Gerardo Granados, Giorgia Colombera, Filippo Gatti, Roberto Miorelli, Didier Clouteau, et al.. Generative model approach on TFM data based on variational inference for muti-fidelity data generation. IUTAM Symposium, Oct 2022, Paris, France. 2022. ⟨cea-04410159⟩