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ORCIDTetsuya J. Kobayashi
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2020 – today
- 2024
[i9]Dimitri Loutchko, Yuki Sughiyama, Tetsuya J. Kobayashi:
Cramer-Rao bound and absolute sensitivity in chemical reaction networks. CoRR abs/2401.06987 (2024)- [i8]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 abs/2405.16503 (2024) - [i7]So Nakashima, Tetsuya J. Kobayashi:
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning. CoRR abs/2408.09493 (2024) - [i6]Shuhei A. Horiguchi, Tetsuya J. Kobayashi:
Optimal control of stochastic reaction networks with entropic control cost and emergence of mode-switching strategies. CoRR abs/2409.17488 (2024) - 2023
- [j7]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): 208 (2023) - [j6]Takehiro Tottori, Tetsuya J. Kobayashi:
Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach. Entropy 25(5): 791 (2023) - [i5]Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J. Kobayashi:
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures. CoRR abs/2305.12424 (2023) - [i4]Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard, Hideyuki Miyahara:
Information geometric bound on general chemical reaction networks. CoRR abs/2309.10334 (2023) - 2022
- [j5]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: 102432 (2022) - [j4]Takehiro Tottori, Tetsuya J. Kobayashi:
Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach. Entropy 24(11): 1599 (2022) - [i3]Takehiro Tottori, Tetsuya J. Kobayashi:
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories. CoRR abs/2209.05067 (2022) - [i2]Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Shuhei A. Horiguchi, Yuki Sughiyama:
Information Geometry of Dynamics on Graphs and Hypergraphs. CoRR abs/2211.14455 (2022) - 2021
- [j3]Takehiro Tottori, Tetsuya J. Kobayashi:
Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP. Entropy 23(5): 551 (2021) - [i1]Takehiro Tottori, Tetsuya J. Kobayashi:
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP. CoRR abs/2103.10752 (2021) - 2020
- [j2]So Nakashima, Yuki Sughiyama, Tetsuya J. Kobayashi:
Lineage EM algorithm for inferring latent states from cellular lineage trees. Bioinform. 36(9): 2829-2838 (2020)
2010 – 2019
- 2019
- [j1]Tetsuya J. Kobayashi, Yuki Sughiyama:
Fitness Gain of Individually Sensed Information by Cells. Entropy 21(10): 1002 (2019) - 2013
- [c2]Tetsuya J. Kobayashi:
Information decoding in microscopic biological processes. EMBC 2013: 2704-2707 - [c1]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: 2716-2719
Coauthor Index
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