Sensorless Position Control Using Feedforward Internal Force for Completely Restrained Parallel-Wire-Driven Systems. - Hitoshi Kino; Toshiaki Yahiro; Shohei Taniguchi; Kenji Tahara (IEEE Trans. Robotics, 2009)

Inverse Dynamics of Human Passive Motion Based on Iterative Learning Control. - Shohei Taniguchi; Hitoshi Kino; Ryuta Ozawa; Ryota Ishibashi; Mitsunori Uemura; Katsuya Kanaoka; Sadao Kawamura (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering. - Felix Von Drigalski; Shohei Taniguchi; Robert Lee; Takamitsu Matsubara; Masashi Hamaya; Kazutoshi Tanaka; Yoshihisa Ijiri (ICRA, 2020)

Langevin Autoencoders for Learning Deep Latent Variable Models. - Shohei Taniguchi; Yusuke Iwasawa; Wataru Kumagai; Yutaka Matsuo (NeurIPS, 2022)

World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator. - Tatsuya Matsushima; Yuki Noguchi; Jumpei Arima; Toshiki Aoki; Yuki Okita; Yuya Ikeda; Koki Ishimoto; Shohei Taniguchi; Yuki Yamashita; Shoichi Seto; Shixiang Shane Gu; Yusuke Iwasawa; et al. (Adv. Robotics, 2022)

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization. - Shohei Taniguchi; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (ICML, 2023)

ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate. - Shohei Taniguchi; Keno Harada; Gouki Minegishi; Yuta Oshima; Seong Cheol Jeong; Go Nagahara; Tomoshi Iiyama; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (NeurIPS, 2024)

SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces. - Yuta Oshima; Shohei Taniguchi; Masahiro Suzuki 001; Yutaka Matsuo (CoRR, 2024)

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. - Gouki Minegishi; Hiroki Furuta; Shohei Taniguchi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings. - Fumiya Uchiyama; Rintaro Yanagi; Shohei Taniguchi; Shota Takashiro; Masahiro Suzuki 001; Hirokatsu Kataoka; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)