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 | 117* | 2019 |
Out-of-distribution generalization with maximal invariant predictor M Koyama, S Yamaguchi | 84 | 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 | 39 | 2018 |
When is invariance useful in an out-of-distribution generalization problem? M Koyama, S Yamaguchi arXiv preprint arXiv:2008.01883, 2020 | 37 | 2020 |
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 | 20 | 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 | 8 | 2018 |
Pisotriquetral joint—anatomy and movement S Yamaguchi, T Nagao, M Beppu, A Tuda, K Miyoshi J Jpn Soc Surg Hand 9, 25-28, 1992 | 8 | 1992 |
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 |
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 | 3 | 2023 |
MANGA: Method Agnostic Neural-policy Generalization and Adaptation H Bharadhwaj, S Yamaguchi, S Maeda International Conference on Robotics and Automation(ICRA), 2020, 2019 | 3 | 2019 |
Motion generation considering situation with conditional generative adversarial networks for throwing robots K Kutsuzawa, H Kusano, A Kume, S Yamaguchi arXiv preprint arXiv:1910.03253, 2019 | 3 | 2019 |
" DVC" Standards for Consumer-Use Digital VCRs A Ide, M Goto, Y Ota, S Yamaguchi NATIONAL TECHNICAL REPORT-OSAKA- 41, 48-48, 1995 | 3 | 1995 |
Adaptive equalization of a nonlinear channel by means of Gaussian radial basis functions M Miyake, K Oishi, S Yamaguchi Electronics and Communications in Japan (Part III: Fundamental Electronic …, 1997 | 2 | 1997 |
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 | 1 | 2023 |
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics K Oono, N Charoenphakdee, K Bito, Z Gao, Y Ota, S Yamaguchi, ... arXiv preprint arXiv:2306.10656, 2023 | | 2023 |
Transforming method, training device, and inference device Y Nagano, S Yamaguchi US Patent App. 17/444,301, 2021 | | 2021 |
A fast start‐up RBF equalizer with a useful nonlinear function and its evaluation M Miyake, K Oishi, S Yamaguchi Electronics and Communications in Japan (Part III: Fundamental Electronic …, 2000 | | 2000 |