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ORCIDYasuhiro Fujita 0001
Person information
- affiliation: Preferred Networks, Inc., Japan
Other persons with the same name
- Yasuhiro Fujita — disambiguation page
- Yasuhiro Fujita 0002 — Sophia University, Tokyo, Japan
- Yasuhiro Fujita 0003 — ASKAWA Electric Corporation, Japan
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2020 – today
- 2024
[i8]Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR abs/2410.07563 (2024)- 2022
- [c5]Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CVPR 2022: 15862-15871 - [i7]Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto:
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CoRR abs/2201.01683 (2022) - 2021
- [j1]Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa:
ChainerRL: A Deep Reinforcement Learning Library. J. Mach. Learn. Res. 22: 77:1-77:14 (2021) - 2020
- [c4]Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro:
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. IROS 2020: 9712-9719 - [i6]Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro:
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. CoRR abs/2007.08082 (2020)
2010 – 2019
- 2019
- [c3]Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama:
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. ICML 2019: 4693-4702 - [i5]Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama:
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. CoRR abs/1902.02992 (2019) - [i4]Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa:
ChainerRL: A Deep Reinforcement Learning Library. CoRR abs/1912.03905 (2019) - [i3]Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita:
Learning Latent State Spaces for Planning through Reward Prediction. CoRR abs/1912.04201 (2019) - 2018
- [c2]Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel:
Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRL 2018: 617-629 - [c1]Yasuhiro Fujita, Shin-ichi Maeda:
Clipped Action Policy Gradient. ICML 2018: 1592-1601 - [i2]Yasuhiro Fujita, Shin-ichi Maeda:
Clipped Action Policy Gradient. CoRR abs/1802.07564 (2018) - [i1]Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel:
Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRR abs/1809.05214 (2018)
Coauthor Index
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