Locally Optimized Hashing for Nearest Neighbor Search. - Seiya Tokui; Issei Sato; Hiroshi Nakagawa (PAKDD (2), 2015)

Reparameterization trick for discrete variables. - Seiya Tokui; Issei Sato (CoRR, 2016)

Learning Discrete Representations via Information Maximizing Self-Augmented Training. - Weihua Hu; Takeru Miyato; Seiya Tokui; Eiichi Matsumoto; Masashi Sugiyama (ICML, 2017)

Evaluating the Variance of Likelihood-Ratio Gradient Estimators. - Seiya Tokui; Issei Sato (ICML, 2017)

Adversarial Attacks and Defences Competition. - Alexey Kurakin; Ian J. Goodfellow; Samy Bengio; Yinpeng Dong; Fangzhou Liao; Ming Liang; Tianyu Pang; Jun Zhu 001; Xiaolin Hu 001; Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; et al. (CoRR, 2018)

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 (KDD, 2019)

Unsupervised Discrete Representation Learning. - Weihua Hu; Takeru Miyato; Seiya Tokui; Eiichi Matsumoto; Masashi Sugiyama (Explainable AI, 2019)

Disentanglement Analysis with Partial Information Decomposition. - Seiya Tokui; Issei Sato (ICLR, 2022)

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars. - Rei Higuchi; Ryotaro Kawata; Naoki Nishikawa; Kazusato Oko; Shoichiro Yamaguchi; Sosuke Kobayashi; Seiya Tokui; Kohei Hayashi; Daisuke Okanohara; Taiji Suzuki (CoRR, 2025)