Reconstruction of tomographic images from projections of a small number of views via mathematical programming. - Fujio Kobayashi; Shoichiro Yamaguchi (Syst. Comput. Jpn., 1986)

A Method of Recognition of Arabic Cursive Handwriting. - Hussein Almuallim; Shoichiro Yamaguchi (IEEE Trans. Pattern Anal. Mach. Intell., 1987)

Extended photometric stereo for an object with unknown reflectance property. - Yuji Iwahori; Noriharu Hiratsuka; Hiroyuki Kamei; Shoichiro Yamaguchi (Syst. Comput. Jpn., 1989)

A method for reconstructing the shape of an object from two images taken under point light source illumination. - Hiroyuki Kamei; Shoichiro Yamaguchi (Syst. Comput. Jpn., 1989)

Point Source Illumination Stereo for Objects with Uniform Reflectance. - Yuji Iwahori; Hiroyuki Kamei; Shoichiro Yamaguchi (Syst. Comput. Jpn., 1990)

Identification of animal behavioral strategies by inverse reinforcement learning. - Shoichiro Yamaguchi; Honda Naoki; Muneki Ikeda; Yuki Tsukada; Shunji Nakano; Ikue Mori; Shin Ishii (PLoS Comput. Biol., 2018)

Distributional Concavity Regularization for GANs. - Shoichiro Yamaguchi; Masanori Koyama (ICLR (Poster), 2019)

A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. - Yoshihiro Nagano; Shoichiro Yamaguchi; Yasuhiro Fujita 001; Masanori Koyama (ICML, 2019)

Semi-flat minima and saddle points by embedding neural networks to overparameterization. - Kenji Fukumizu; Shoichiro Yamaguchi; Yoh-ichi Mototake; Mirai Tanaka (NeurIPS, 2019)

A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. - Yoshihiro Nagano; Shoichiro Yamaguchi; Yasuhiro Fujita 001; Masanori Koyama (CoRR, 2019)

Data Interpolating Prediction: Alternative Interpretation of Mixup. - Takuya Shimada; Shoichiro Yamaguchi; Kohei Hayashi; Sosuke Kobayashi (CoRR, 2019)

Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots. - Kyo Kutsuzawa; Hitoshi Kusano; Ayaka Kume; Shoichiro Yamaguchi (CoRR, 2019)

MANGA: Method Agnostic Neural-policy Generalization and Adaptation. - Homanga Bharadhwaj; Shoichiro Yamaguchi; Shin-ichi Maeda (ICRA, 2020)

Out-of-Distribution Generalization with Maximal Invariant Predictor. - Masanori Koyama; Shoichiro Yamaguchi (CoRR, 2020)

Collision-free Path Planning in the Latent Space through cGANs. - Tomoki Ando; Hiroki Mori; Ryota Torishima; Kuniyuki Takahashi; Shoichiro Yamaguchi; Daisuke Okanohara; Tetsuya Ogata (CoRR, 2022)

Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs. - Tomoki Ando; Hiroto Iino; Hiroki Mori; Ryota Torishima; Kuniyuki Takahashi; Shoichiro Yamaguchi; Daisuke Okanohara; Tetsuya Ogata (CoRR, 2022)

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. - 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; et al. (CoRR, 2023)

Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs. - Tomoki Ando; Hiroto Iino; Hiroki Mori; Ryota Torishima; Kuniyuki Takahashi; Shoichiro Yamaguchi; Daisuke Okanohara; Tetsuya Ogata (Adv. Robotics, 2023)

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars. - Rei Higuchi; Ryotaro Kawata; Naoki Nishikawa; Kazusato Oko; Shoichiro Yamaguchi; Sosuke Kobayashi; Seiya Tokui; Kohei Hayashi; Daisuke Okanohara; Taiji Suzuki (CoRR, 2025)