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Toshiki Kataoka
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2020 – today
- 2022
- [j3]Ryuichiro Ishitani, Toshiki Kataoka, Kentaro Rikimaru:
Molecular Design Method Using a Reversible Tree Representation of Chemical Compounds and Deep Reinforcement Learning. J. Chem. Inf. Model. 62(17): 4032-4048 (2022) - 2021
- [j2]Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa:
ChainerRL: A Deep Reinforcement Learning Library. J. Mach. Learn. Res. 22: 77:1-77:14 (2021)
2010 – 2019
- 2019
- [i3]Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa:
ChainerRL: A Deep Reinforcement Learning Library. CoRR abs/1912.03905 (2019) - 2018
- [j1]Ichiro Hasuo, Toshiki Kataoka, Kenta Cho:
Coinductive predicates and final sequences in a fibration. Math. Struct. Comput. Sci. 28(4): 562-611 (2018) - [c5]Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida:
Spectral Normalization for Generative Adversarial Networks. ICLR 2018 - [i2]Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida:
Spectral Normalization for Generative Adversarial Networks. CoRR abs/1802.05957 (2018) - 2017
- [c4]Toshiki Kataoka, Kenji Funahashi, Koji Tanida, Katsuya Yashiro:
A study of sense of self-agency focused on noise and delay in multiple input operation. GCCE 2017: 1-4 - 2016
- [c3]Toshiki Kataoka, Kenji Funahashi, Koji Tanida, Katsuya Yashiro:
A Study of Sense of Self-agency Focused on Cross-correlation and Delay Between Action and Effect in Continuous Operation. ICAT-EGVE (Posters and Demos) 2016: 5-6 - 2015
- [c2]Toshiki Kataoka, Dusko Pavlovic:
Towards Concept Analysis in Categories: Limit Inferior as Algebra, Limit Superior as Coalgebra. CALCO 2015: 130-155 - [i1]Toshiki Kataoka, Dusko Pavlovic:
Towards concept analysis in categories: limit inferior as algebra, limit superior as coalgebra. CoRR abs/1505.01098 (2015) - 2013
- [c1]Ichiro Hasuo, Kenta Cho, Toshiki Kataoka, Bart Jacobs:
Coinductive Predicates and Final Sequences in a Fibration. MFPS 2013: 197-214
Coauthor Index
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