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Shoichiro Yamaguchi
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2020 – today
- 2023
- [j7]Tomoki Ando
, Hiroto Iino
, Hiroki Mori
, Ryota Torishima, Kuniyuki Takahashi
, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
:
Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs. Adv. Robotics 37(10): 621-633 (2023) - [i9]Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi:
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR abs/2306.10656 (2023) - 2022
- [i8]Tomoki Ando, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning in the Latent Space through cGANs. CoRR abs/2202.07203 (2022) - [i7]Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs. CoRR abs/2202.13062 (2022) - 2020
- [c4]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA 2020: 3356-3362 - [i6]Masanori Koyama, Shoichiro Yamaguchi:
Out-of-Distribution Generalization with Maximal Invariant Predictor. CoRR abs/2008.01883 (2020)
2010 – 2019
- 2019
- [c3]Shoichiro Yamaguchi, Masanori Koyama:
Distributional Concavity Regularization for GANs. ICLR (Poster) 2019 - [c2]Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama:
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. ICML 2019: 4693-4702 - [c1]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. NeurIPS 2019: 13845-13853 - [i5]Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama:
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. CoRR abs/1902.02992 (2019) - [i4]Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake, Mirai Tanaka:
Semi-flat minima and saddle points by embedding neural networks to overparameterization. CoRR abs/1906.04868 (2019) - [i3]Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi:
Data Interpolating Prediction: Alternative Interpretation of Mixup. CoRR abs/1906.08412 (2019) - [i2]Kyo Kutsuzawa
, Hitoshi Kusano, Ayaka Kume, Shoichiro Yamaguchi:
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. CoRR abs/1910.03253 (2019) - [i1]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR abs/1911.08444 (2019) - 2018
- [j6]Shoichiro Yamaguchi, Honda Naoki
, Muneki Ikeda
, Yuki Tsukada, Shunji Nakano
, Ikue Mori, Shin Ishii
:
Identification of animal behavioral strategies by inverse reinforcement learning. PLoS Comput. Biol. 14(5) (2018)
1990 – 1999
- 1990
- [j5]Yuji Iwahori
, Hiroyuki Kamei, Shoichiro Yamaguchi:
Point Source Illumination Stereo for Objects with Uniform Reflectance. Syst. Comput. Jpn. 21(2): 23-33 (1990)
1980 – 1989
- 1989
- [j4]Yuji Iwahori
, Noriharu Hiratsuka, Hiroyuki Kamei, Shoichiro Yamaguchi:
Extended photometric stereo for an object with unknown reflectance property. Syst. Comput. Jpn. 20(1): 83-92 (1989) - [j3]Hiroyuki Kamei, Shoichiro Yamaguchi:
A method for reconstructing the shape of an object from two images taken under point light source illumination. Syst. Comput. Jpn. 20(10): 75-84 (1989) - 1987
- [j2]Hussein Almuallim, Shoichiro Yamaguchi:
A Method of Recognition of Arabic Cursive Handwriting. IEEE Trans. Pattern Anal. Mach. Intell. 9(5): 715-722 (1987) - 1986
- [j1]Fujio Kobayashi, Shoichiro Yamaguchi:
Reconstruction of tomographic images from projections of a small number of views via mathematical programming. Syst. Comput. Jpn. 17(9): 87-96 (1986)
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