Tetsuya J. Kobayashi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 14

Top Topics

Forward And Backward

Stochastic Control

Gaussian Mixture

Likelihood Function

Top Venues

Artif. Intell. Medicine

Publications

Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai
Integrating GNN and Neural ODEs for Estimating Two-Body Interactions in Mixed-Species Collective Motion. CoRR (2024)
Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi
Cramer-Rao bound and absolute sensitivity in chemical reaction networks. CoRR (2024)
Takehiro Tottori, Tetsuya J. Kobayashi
Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach. Entropy 25 (5) (2023)
Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard, Hideyuki Miyahara
Information geometric bound on general chemical reaction networks. CoRR (2023)
Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J. Kobayashi
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures. CoRR (2023)
Takehiro Tottori, Tetsuya J. Kobayashi
Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control. Entropy 25 (2) (2023)
Takehiro Tottori, Tetsuya J. Kobayashi
Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach. Entropy 24 (11) (2022)
Takehiro Tottori, Tetsuya J. Kobayashi
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories. CoRR (2022)
Yuta Tokuoka, Takahiro G. Yamada, Daisuke Mashiko, Zenki Ikeda, Tetsuya J. Kobayashi, Kazuo Yamagata, Akira Funahashi
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos. Artif. Intell. Medicine 134 (2022)
Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Shuhei Horiguchi, Yuki Sughiyama
Information Geometry of Dynamics on Graphs and Hypergraphs. CoRR (2022)
Takehiro Tottori, Tetsuya J. Kobayashi
Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP. Entropy 23 (5) (2021)
Takehiro Tottori, Tetsuya J. Kobayashi
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP. CoRR (2021)
So Nakashima, Yuki Sughiyama, Tetsuya J. Kobayashi
Lineage EM algorithm for inferring latent states from cellular lineage trees. Bioinform. 36 (9) (2020)
Tetsuya J. Kobayashi, Yuki Sughiyama
Fitness Gain of Individually Sensed Information by Cells. Entropy 21 (10) (2019)
Noriko Hiroi, Keisuke Iba, Akito Tabira, Takahiro Okuhara, Takeshi Kubojima, Takumi Hiraiwa, Tetsuya J. Kobayashi, Kotaro Oka, Akira Funahashi
In vivo oriented modeling with consideration of intracellular crowding. EMBC (2013)
Tetsuya J. Kobayashi
Information decoding in microscopic biological processes. EMBC (2013)