JpGU-AGU Joint Meeting 2026

Presentation information

[E] Poster

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT51] State-of-the-Art Seismic Data Analysis Based on Bayesian Statistics

Thu. May 28, 2026 5:15 PM - 7:00 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

5:15 PM - 7:00 PM

[STT51-P02] Function-space based PDE-constrained Bayesian inversion methods using physics-informed neural networks

*Ryoichiro Agata1, Tomohisa Okazaki2 (1. Japan Agency for Marine-Earth Science and Technology, 2. RIKEN Center for Advanced Intelligence Project)

Keywords:Physics-informed neural network, Bayesian neural network, Function space, PDE-constrained Bayesian inverse problem