18 citations · 30 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 18 cited
Bayesian Structural Model Updating with Multimodal Variational Autoencoder
Tatsuya Itoi, Kazuho Amishiki, Sangwon Lee +1
A novel framework for Bayesian structural model updating is presented in this study. The proposed method utilizes the surrogate unimodal encoders of a multimodal variational autoen…
stat.AP2024★ 12 cited
Probabilistic Model Updating of Steel Frame Structures Using Strain and Acceleration Measurements: A Multitask Learning Framework
Taro Yaoyama, Tatsuya Itoi, Jun Iyama
This paper proposes a multitask learning framework for probabilistic model updating by jointly using strain and acceleration measurements. This framework can enhance the structural…