Shohei Taniguchi

According to our database1, Shohei Taniguchi authored at least 15 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces.
New Gener. Comput., August, 2026

Residual Koopman Spectral Profiling for Predicting and Preventing Transformer Training Instability.
CoRR, February, 2026

∞-MoE: Generalizing Mixture of Experts to Infinite Experts.
CoRR, January, 2026

Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
How Semantically Informative is an Image?: Measuring the Covariance-Weighted Norm of Contrastive Learning Embeddings.
CoRR, June, 2025

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces.
CoRR, 2024

ADOPT: Modified Adam Can Converge with Any β<sub>2</sub> with the Optimal Rate.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization.
Proceedings of the International Conference on Machine Learning, 2023

2022
World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator.
Adv. Robotics, 2022

Langevin Autoencoders for Learning Deep Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2012
Inverse Dynamics of Human Passive Motion Based on Iterative Learning Control.
IEEE Trans. Syst. Man Cybern. Part A, 2012

2009
Sensorless Position Control Using Feedforward Internal Force for Completely Restrained Parallel-Wire-Driven Systems.
IEEE Trans. Robotics, 2009


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