Shoji Toyota's Homepage
・ Manuel Gloeckler*, Shoji Toyota*, Kenji Fukumizu, Jakob H Macke (*Equal Contributions) (2024)
Compositional Simulation-based Inference for Time Series,
・ Sebastian Bischoff*, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Gloeckler*†, Lisa Haxel, Jaivardhan Kapoor*, Janne K Lappalainen, Jakob H Macke, Guy Moss, Matthijs Pals*†, Felix Pei, Rachel Rapp, A Erdem Sağtekin, Cornelius Schröder, Auguste Schulz*, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter (* Co-organizers, † Corresponding authors) (2024)
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science,
Transaction of Machine Learning Research (TMLR).
Publication:
・ S. Toyota and K. Fukumizu (2024)
Out-of-Distribution Optimality of Invariant Risk Minimization,
Transaction of Machine Learning Research (TMLR).
・ S. Toyota and K. Fukumizu (2022)
Invariance Learning based on Label Hierarchy,
Advances in Neural Information and Processing Systems 36 (NeurIPS 2022).
Preprint:
・ S. Toyota (2020)
Geometry of Arimoto Algorithm,
Information Geometry.