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ORCIDKazuki Yoshizoe
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2020 – today
- 2022
[c13]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. WACV 2022: 3535-3544- 2021
- [c12]Xiufeng Yang, Tanuj Kr Aasawat, Kazuki Yoshizoe:
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design. ICLR 2021 - [i8]Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe:
Graph Energy-based Model for Substructure Preserving Molecular Design. CoRR abs/2102.04600 (2021) - 2020
- [j3]Ryosuke Shibukawa
, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda:
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration. J. Cheminformatics 12(1): 52 (2020) - [c11]Tanuj Kr Aasawat, Tahsin Reza, Kazuki Yoshizoe, Matei Ripeanu:
HyGN: Hybrid Graph Engine for NUMA. IEEE BigData 2020: 383-390 - [c10]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. ECCV (25) 2020: 1-16 - [i7]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. CoRR abs/2006.07965 (2020) - [i6]Xiufeng Yang, Tanuj Kr Aasawat, Kazuki Yoshizoe:
Practical Large-Scale Distributed Parallel Monte-Carlo Tree Search Applied to Molecular Design. CoRR abs/2006.10504 (2020)
2010 – 2019
- 2019
- [r1]Kazuki Yoshizoe, Martin Müller:
Computer Go. Encyclopedia of Computer Graphics and Games 2019 - [i5]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. CoRR abs/1911.06987 (2019) - 2018
- [j2]Kazuki Yoshizoe, Aika Terada, Koji Tsuda:
MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms. Bioinform. 34(17): 3047-3049 (2018) - 2017
- [j1]Xiufeng Yang, Kazuki Yoshizoe, Akito Taneda, Koji Tsuda:
RNA inverse folding using Monte Carlo tree search. BMC Bioinform. 18(1): 468 (2017) - [i4]Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda:
ChemTS: An Efficient Python Library for de novo Molecular Generation. CoRR abs/1710.00616 (2017) - 2015
- [c9]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable parallel numerical constraint solver using global load balancing. X10@PLDI 2015: 33-38 - [i3]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable Parallel Numerical Constraint Solver Using Global Load Balancing. CoRR abs/1505.04542 (2015) - [i2]Kazuki Yoshizoe, Aika Terada, Koji Tsuda:
Redesigning pattern mining algorithms for supercomputers. CoRR abs/1510.07787 (2015) - 2014
- [c8]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable Parallel Numerical CSP Solver. CP 2014: 398-406 - [i1]Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura:
Scalable Parallel Numerical CSP Solver. CoRR abs/1411.1507 (2014) - 2011
- [c7]Junichi Hashimoto, Akihiro Kishimoto, Kazuki Yoshizoe, Kokolo Ikeda:
Accelerated UCT and Its Application to Two-Player Games. ACG 2011: 1-12 - [c6]Kazuki Yoshizoe, Akihiro Kishimoto, Tomoyuki Kaneko, Haruhiro Yoshimoto, Yutaka Ishikawa:
Scalable Distributed Monte-Carlo Tree Search. SOCS 2011: 180-187
2000 – 2009
- 2009
- [c5]Kenichi Koizumi, Mary Inaba, Kei Hiraki, Yasuo Ishii, Takefumi Miyoshi, Kazuki Yoshizoe:
Triple Line-Based Playout for Go - An Accelerator for Monte Carlo Go. ReConFig 2009: 161-166 - 2008
- [c4]Kazuki Yoshizoe:
A New Proof-Number Calculation Technique for Proof-Number Search. Computers and Games 2008: 135-145 - 2007
- [c3]Kazuki Yoshizoe, Akihiro Kishimoto, Martin Müller:
Lambda Depth-First Proof Number Search and Its Application to Go. IJCAI 2007: 2404-2409 - [c2]Rei Yoshida, Rie Shigetomi, Kazuki Yoshizoe, Akira Otsuka, Hideki Imai:
A Privacy Protection Scheme for a Scalable Control Method in Context-Dependent Services. WEWoRC 2007: 1-12 - 2006
- [c1]Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kaneko, Akihiro Kishimoto, Kenjiro Taura:
Monte Carlo Go Has a Way to Go. AAAI 2006: 1070-1075
Coauthor Index
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