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Shoichiro Yamaguchi
Shoichiro Yamaguchi
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Title
Cited by
Cited by
Year
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
812020
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
392018
When is invariance useful in an out-of-distribution generalization problem?
M Koyama, S Yamaguchi
arXiv preprint arXiv:2008.01883, 2020
362020
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
192019
Data interpolating prediction: Alternative interpretation of mixup
T Shimada, S Yamaguchi, K Hayashi, S Kobayashi
ICLR 2019 Workshop, Learning from Limited Labeled Data, 2019
102019
Distributional concavity regularization for GANs
S Yamaguchi, M Koyama
International Conference on Learning Representations (ICLR), 2019, 2018
82018
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
42022
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
32023
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
H Bharadhwaj, S Yamaguchi, S Maeda
International Conference on Robotics and Automation(ICRA), 2020, 2019
32019
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
32019
Transforming method, training device, and inference device
Y Nagano, S Yamaguchi
US Patent App. 17/444,301, 2021
2021
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Articles 1–12