Seiya Tokui

According to our database, Seiya Tokui authored at least 8 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Disentanglement Analysis with Partial Information Decomposition.

Seiya Tokui, Issei Sato

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

Unsupervised Discrete Representation Learning.

Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama

Proceedings of the Explainable AI: Interpreting, 2019

Chainer: A Deep Learning Framework for Accelerating the Research Cycle.

Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Adversarial Attacks and Defences Competition.

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

CoRR, 2018

2017

Evaluating the Variance of Likelihood-Ratio Gradient Estimators.

Seiya Tokui, Issei Sato

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Discrete Representations via Information Maximizing Self-Augmented Training.

Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Reparameterization trick for discrete variables.

Seiya Tokui, Issei Sato

CoRR, 2016

2015

Locally Optimized Hashing for Nearest Neighbor Search.

Seiya Tokui, Issei Sato, Hiroshi Nakagawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015