| A wrapped normal distribution on hyperbolic space for gradient-based learning Y Nagano, S Yamaguchi, Y Fujita, M Koyama International Conference on Machine Learning, 4693-4702, 2019 | 149* | 2019 |
| Out-of-distribution generalization with maximal invariant predictor M Koyama, S Yamaguchi | 92 | 2020 |
| When is invariance useful in an out-of-distribution generalization problem? M Koyama, S Yamaguchi arXiv preprint arXiv:2008.01883, 2020 | 62 | 2020 |
| Identification of animal behavioral strategies by inverse reinforcement learning S Yamaguchi, H Naoki, M Ikeda, Y Tsukada, S Nakano, I Mori, S Ishii PLoS computational biology 14 (5), e1006122, 2018 | 57 | 2018 |
| Semi-flat minima and saddle points by embedding neural networks to overparameterization K Fukumizu, S Yamaguchi, Y Mototake, M Tanaka Advances in neural information processing systems 32, 2019 | 27 | 2019 |
| Data interpolating prediction: Alternative interpretation of mixup T Shimada, S Yamaguchi, K Hayashi, S Kobayashi ICLR 2019 Workshop, Learning from Limited Labeled Data, 2019 | 10 | 2019 |
| Distributional concavity regularization for GANs S Yamaguchi, M Koyama International Conference on Learning Representations (ICLR), 2019, 2018 | 9 | 2018 |
| Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs T Ando, H Iino, H Mori, R Torishima, K Takahashi, S Yamaguchi, ... Advanced Robotics 37 (10), 621-633, 2023 | 6 | 2023 |
| Collision-free path planning in the latent space through cgans T Ando, H Mori, R Torishima, K Takahashi, S Yamaguchi, D Okanohara, ... arXiv preprint arXiv:2202.07203, 2022 | 4 | 2022 |
| MANGA: Method Agnostic Neural-policy Generalization and Adaptation H Bharadhwaj, S Yamaguchi, S Maeda International Conference on Robotics and Automation(ICRA), 2020, 2019 | 4 | 2019 |
| Assessment of multidimensional health care parameters among adults in japan for developing a virtual human generative model: Protocol for a cross-sectional study M Hibi, S Katada, A Kawakami, K Bito, M Ohtsuka, K Sugitani, A Muliandi, ... JMIR Research Protocols 12 (1), e47024, 2023 | 3 | 2023 |
| Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics K Oono, N Charoenphakdee, K Bito, Z Gao, H Igata, M Yoshikawa, Y Ota, ... arXiv preprint arXiv:2306.10656, 2023 | 1 | 2023 |
| Creating a General-Purpose Generative Model for Healthcare Data based on Multiple Clinical Studies H Maruyama, K Bito, Y Saito, M Hibi, S Katada, A Kawakami, K Oono, ... medRxiv, 2025.01. 23.25320504, 2025 | | 2025 |
| Transforming method, training device, and inference device Y Nagano, S Yamaguchi US Patent App. 17/444,301, 2021 | | 2021 |