Tetsuya J. Kobayashi

20 papers A* 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning.
GECCO Companion
So Nakashima, Tetsuya J. Kobayashi
2024 J jnl
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning.
CoRR
So Nakashima, Tetsuya J. Kobayashi
2024 J jnl
Cramer-Rao bound and absolute sensitivity in chemical reaction networks.
CoRR
Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi
2024 A* conf
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion.
NeurIPS
Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai
2024 J jnl
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion.
CoRR
Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai
2024 J jnl
Optimal control of stochastic reaction networks with entropic control cost and emergence of mode-switching strategies.
CoRR
Shuhei A. Horiguchi, Tetsuya J. Kobayashi
2023 J jnl
Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach.
Entropy
Takehiro Tottori, Tetsuya J. Kobayashi
2023 J jnl
Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control.
Entropy
Takehiro Tottori, Tetsuya J. Kobayashi
2023 J jnl
Information geometric bound on general chemical reaction networks.
CoRR
Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard, Hideyuki Miyahara
2023 J jnl
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures.
CoRR
Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J. Kobayashi
2022 J jnl
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos.
Artif. Intell. Medicine
Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi
2022 J jnl
Information Geometry of Dynamics on Graphs and Hypergraphs.
CoRR
Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Shuhei A. Horiguchi, Yuki Sughiyama
2022 J jnl
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories.
CoRR
Takehiro Tottori, Tetsuya J. Kobayashi
2022 J jnl
Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach.
Entropy
Takehiro Tottori, Tetsuya J. Kobayashi
2021 J jnl
Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP.
Entropy
Takehiro Tottori, Tetsuya J. Kobayashi
2021 J jnl
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP.
CoRR
Takehiro Tottori, Tetsuya J. Kobayashi
2020 J jnl
Lineage EM algorithm for inferring latent states from cellular lineage trees.
Bioinform.
So Nakashima, Yuki Sughiyama, Tetsuya J. Kobayashi
2019 J jnl
Fitness Gain of Individually Sensed Information by Cells.
Entropy
Tetsuya J. Kobayashi, Yuki Sughiyama
2013 — conf
In vivo oriented modeling with consideration of intracellular crowding.
EMBC
Noriko Hiroi, Keisuke Iba, Akito Tabira, Takahiro Okuhara, Takeshi Kubojima, Takumi Hiraiwa, Tetsuya J. Kobayashi, Kotaro Oka, Akira Funahashi
2013 — conf
Information decoding in microscopic biological processes.
EMBC
Tetsuya J. Kobayashi