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Shohei Taniguchi
Observed names:
S Taniguchi,
S. Taniguchi,
Shohei TANIGUCHI,
Taniguchi, Shohei
Institutions:
Third Way,
The University of Tokyo
Observed institutions:
Panasonic (Japan),
Nagoya Institute of Technology,
Hokkaido University,
Third Way,
Tokyo Metropolitan Industrial Technology Research Institute,
Panasonic Electric Works Co., Ltd. (Japan),
The University of Tokyo
show all 7
OpenAlex ID:
A5112922134
Landing instructions focused on pelvic and trunk lateral tilt decrease the knee abduction moment during a single-leg drop vertical jump
2020
·
Masato Chijimatsu
, Tomoya Ishida
, et al.
·
Physical Therapy in Sport
·
34
PDF
Sensorless Position Control Using Feedforward Internal Force for Completely Restrained Parallel-Wire-Driven Systems
2009
·
H. Kino
, T. Yahiro
, et al.
·
IEEE Transactions on Robotics
·
34
Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering
2020
·
Felix von Drigalski
, Shohei Taniguchi
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
29
The effects of a subsequent jump on the knee abduction angle during the early landing phase
2018
·
Tomoya Ishida
, Yuta Koshino
, et al.
·
BMC Musculoskeletal Disorders
·
22
PDF
Inverse Dynamics of Human Passive Motion Based on Iterative Learning Control
2011
·
Shohei Taniguchi
, Hitoshi Kino
, et al.
·
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
·
20
Optical properties of LiNbO3 implanted with Ag ions
1996
·
D. Y. Shang
, Y. Saito
, et al.
·
Journal of Applied Physics
·
20
Quadriceps force and anterior tibial force occur obviously later than vertical ground reaction force: a simulation study
2017
·
Ryo Ueno
, Tomoya Ishida
, et al.
·
BMC Musculoskeletal Disorders
·
18
PDF
Larger hip external rotation motion is associated with larger knee abduction and internal rotation motions during a drop vertical jump
2021
·
Tomoya Ishida
, Yuta Koshino
, et al.
·
Sports Biomechanics
·
16
PDF
Characterization of mechanical properties and microstructure of high-energy dual ion implanted metals
2001
·
S Taniguchi
, A Kitahara
, et al.
·
Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms
·
15
World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
2022
·
Tatsuya Matsushima
, Yuki Noguchi
, et al.
·
Advanced Robotics
·
13
Observation of voids formed by annealing in LiNbO3 implanted with Cu ions
2007
·
K. Ijima
, N. Mitsui
, et al.
·
Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms
·
8
Ssm Meets Video Diffusion Models: Efficient Long-Term Video Generation with Selective State Spaces
2024
·
Yuta Oshima
, Shohei Taniguchi
, et al.
·
SSRN Electronic Journal
·
6
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
2024
·
Shohei Taniguchi
, Keno Harada
, et al.
·
neural information processing systems
·
2
PDF
World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
2022
·
Matsushima, Tatsuya
, Noguchi, Yuki
, et al.
·
arXiv (Cornell University)
·
2
PDF
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces
2026
·
Yuta Oshima
, Shohei Taniguchi
, et al.
·
New Generation Computing
·
1
PDF
Development of joint module with integrated torque sensor featuring two-stage characteristics
2024
·
Tatsuro KURODA
, Shohei TANIGUCHI
, et al.
·
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
·
1
RubatoCodec: Budgeted Adaptive Speech Tokenization with Streaming Decoding
2026
·
Arata, Chihiro
, Taniguchi, Shohei
, et al.
·
arXiv (Cornell University)
PDF
FasTARFlow: Distilling transformer-based autoregressive flows into fast inverse autoregressive models
2026
·
Kai Yamashita
, Shohei Taniguchi
, et al.
·
Neurocomputing
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation
2026
·
Onoda, Ku
, Parmas, Paavo
, et al.
·
arXiv (Cornell University)
PDF
What Keeps Vision-Language Models Looking at the Image?
2026
·
Osaka, Hiroto
, Taniguchi, Shohei
, et al.
·
arXiv (Cornell University)
PDF
∞-MoE: Generalizing Mixture of Experts to Infinite Experts
2026
·
Association for Computational Linguistics 2026
, Iwasawa, Yusuke
, et al.
·
Underline Science Inc.
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
2026
·
Association for Computational Linguistics 2026
, Matsuo, Yutaka
, et al.
·
Underline Science Inc.
Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability
2026
·
Kim, Bum Jun
, Taniguchi, Shohei
, et al.
·
arXiv (Cornell University)
PDF
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
2026
·
Shimizu, Atsushi
, Taniguchi, Shohei
, et al.
·
arXiv (Cornell University)
PDF
$\infty$-MoE: Generalizing Mixture of Experts to Infinite Experts
2026
·
Takashiro, Shota
, Kojima, Takeshi
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
45
Citation count:
241
H-index:
10
I10-index:
10
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