Session Details
[5M2-GS-2c]Machine learning
Fri. Jun 12, 2026 12:00 PM - 1:30 PM JST
Fri. Jun 12, 2026 3:00 AM - 4:30 AM UTC
Fri. Jun 12, 2026 3:00 AM - 4:30 AM UTC
Room M(Middle room 302A)
[5M2-GS-2c-01]Simulation-Based Inference for Estimating Posterior Distributions of Battery Simulation Parameters and Visualizing Non-Identifiability
〇Naoki Miyagawa1,2, Tatsuya Shimogawa1, Tomohiko Inoue1, Yoshinobu Kawahara2 (1. Nissan Motor Co., Ltd., 2. The University of Osaka)
[5M2-GS-2c-02]Identification of KPI Variation Factors via Causal Contribution Decomposition using Observational Data
〇Atomu Matsuda1, yusaku imai1 (1. GROWTH DATA Inc)
[5M2-GS-2c-03]Bayesian Snake Neural Network for Periodic Multivariate Time Series Analysis
〇Kota KURIHARA1, Masahiro KOHJIMA2, Moeka YOSHINARI2, Ryuji YAMAMOTO2, Yasuhiro MINAMI1 (1. The University of Electro-Communications, 2. NTT)
[5M2-GS-2c-04]Graph Structure Learning Based on Granger Causality Tests for Mutually Exciting Point Process Data
〇Atsushi Takenaka1, Ken-ichi Fukui2 (1. Graduate School of Information Science and Technology, The University of Osaka, 2. Faculty of Business Data Science, Kansai University)
[5M2-GS-2c-05]Logistic Regression–Based Continuous Transformation for Causal Discovery in Binary-Mixed Time Series via VAR-LiNGAM
〇Haruto Takenami1, Haruka Yamashita1 (1. Sophia University)
[5M2-GS-2c-06]Counterfactual Explanations of Time-Varying Rankings with a Focus on Feasibility
Rikuto Takano1, 〇Ryuta Shiraishi1, Ryusei Ohtani1, Keiichi Namikoshi1, Yuko Sakurai1, Satoshi Oyama2,3 (1. Nagoya Institute of Technology, 2. Nagoya City University, 3. RIKEN AIP)