| Geometry of Arimoto algorithm S Toyota Information Geometry 3 (2), 183-198, 2020 | 6 | 2020 |
| A practical guide to statistical distances for evaluating generative models in science S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ... arXiv preprint arXiv:2403.12636, 2024 | 5 | 2024 |
| Invariance learning based on label hierarchy S Toyota, K Fukumizu Advances in Neural Information Processing Systems 35, 30085-30098, 2022 | 2 | 2022 |
| A practical guide to sample-based statistical distances for evaluating generative models in science S Bischoff, A Darcher, M Deistler, R Gao, F Gerken, M Gloeckler, L Haxel, ... Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| Compositional simulation-based inference for time series M Gloeckler, S Toyota, K Fukumizu, JH Macke arXiv preprint arXiv:2411.02728, 2024 | | 2024 |
| Out-of-Distribution Optimality of Invariant Risk Minimization S Toyota, K Fukumizu Transactions on Machine Learning Research, 2023 | | 2023 |
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
