Seiya Tokui

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 10

Top Topics

Nearest Neighbor Search

Partial Information

Discrete Variables

Conditional Likelihood

Top Venues

Publications

Seiya Tokui, Issei Sato
Disentanglement Analysis with Partial Information Decomposition. ICLR (2022)
Seiya Tokui, Issei Sato
Disentanglement Analysis with Partial Information Decomposition. CoRR (2021)
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD (2019)
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR (2019)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
Adversarial Attacks and Defences Competition. CoRR (2018)
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Learning Discrete Representations via Information Maximizing Self-Augmented Training. ICML (2017)
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Learning Discrete Representations via Information Maximizing Self Augmented Training. CoRR (2017)
Seiya Tokui, Issei Sato
Evaluating the Variance of Likelihood-Ratio Gradient Estimators. ICML (2017)
Seiya Tokui, Issei Sato
Reparameterization trick for discrete variables. CoRR (2016)
Seiya Tokui, Issei Sato, Hiroshi Nakagawa
Locally Optimized Hashing for Nearest Neighbor Search. PAKDD (2) (2015)