Geological Literature Search (GEOLIS) (Geological Survey of Japan / AIST)

[Invited]Uncertainty quantification of seismic tomography based on physics-informed neural networks and particle-based variational inference in function space (S23-04)(abs.)

Authors=Ryoichiro AGATA

Journal/Book_names=Programme and Abstracts, the Seismological Society of Japan, Fall Meeting (CD-ROM)

volume=2022

pages=S23-04

Publish_year=2022

Publisher=Seismological Society of Japan

Language_of_Text=JA

ID=300028306

@id=https://gbank.gsj.jp/ld/resource/geolis/300028306