Shoji Toyota's Homepage
Preprint:
Refereed Journal Papers and Conference Proceedings:
・ S. Toyota and Y. Miyatake (2026)
Bayesian Inference of Discretization Error Means in ODEs via Ensemble Kalman Filtering,
International Conference on Probabilistic Numerics (ProbNum 2026).
・ H. Nagamatsu, S. Toyota and S. Uchida (2026)
Handwriting Trajectory Recovery with Diffusion Models,
International Conference on Document Analysis and Recognition (ICDAR 2026).
・ S. Toyota and Y. Miyatake (2026)
Joint Bayesian Inference of Parameter and Discretization Error Uncertainties in ODE Models,
SIAM/ASA Journal in Uncertainty Quantification, in press, 2026.
・ Yuma Yamaoka, Seiichi Uchida, Shoji Toyota (2026)
Self-Organizing Score-based Data Assimilation,
International Joint Conference on Neural Networks (IJCNN) 2026.
・ Manuel Gloeckler*, Shoji Toyota*, Kenji Fukumizu, Jakob H Macke (*Equal Contributions) (2025)
Compositional Simulation-based Inference for Time Series,
International Conference on Learning Representations 13 (ICLR 2025).
・ 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).
・ 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).
・ S. Toyota (2020)
Geometry of Arimoto Algorithm,
Information Geometry.