Tetsuya J. Kobayashi

According to our database, Tetsuya J. Kobayashi authored at least 19 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning.

So Nakashima, Tetsuya J. Kobayashi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024

Optimal control of stochastic reaction networks with entropic control cost and emergence of mode-switching strategies.

Shuhei A. Horiguchi, Tetsuya J. Kobayashi

CoRR, 2024

Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning.

So Nakashima, Tetsuya J. Kobayashi

CoRR, 2024

Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion.

Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai

CoRR, 2024

Cramer-Rao bound and absolute sensitivity in chemical reaction networks.

Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi

CoRR, 2024

Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion.

Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control.

Takehiro Tottori, Tetsuya J. Kobayashi

Entropy, February, 2023

Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach.

Takehiro Tottori, Tetsuya J. Kobayashi

Entropy, 2023

Information geometric bound on general chemical reaction networks.

Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard, Hideyuki Miyahara

CoRR, 2023

Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures.

Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J. Kobayashi

CoRR, 2023

2022

Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach.

Takehiro Tottori, Tetsuya J. Kobayashi

Entropy, 2022

Information Geometry of Dynamics on Graphs and Hypergraphs.

Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Shuhei A. Horiguchi, Yuki Sughiyama

CoRR, 2022

Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories.

Takehiro Tottori, Tetsuya J. Kobayashi

CoRR, 2022

An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.

Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi

Artif. Intell. Medicine, 2022

2021

Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP.

Takehiro Tottori, Tetsuya J. Kobayashi

Entropy, 2021

2020

Lineage EM algorithm for inferring latent states from cellular lineage trees.

So Nakashima, Yuki Sughiyama, Tetsuya J. Kobayashi

Bioinform., 2020

2019

Fitness Gain of Individually Sensed Information by Cells.

Tetsuya J. Kobayashi, Yuki Sughiyama

Entropy, 2019

2013

Information decoding in microscopic biological processes.

Tetsuya J. Kobayashi

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

In vivo oriented modeling with consideration of intracellular crowding.

Noriko Hiroi, Keisuke Iba, Akito Tabira, Takahiro Okuhara, Takeshi Kubojima, Takumi Hiraiwa, Tetsuya J. Kobayashi, Kotaro Oka, Akira Funahashi

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013