Scalable Algorithm for Probabilistic Overlapping Community Detection. - Kento Nozawa; Kei Wakabayashi (SWM@WSDM, 2017)

Imputing Missing Values in EEG with Multivariate Autoregressive Models. - Atsunori Kanemura; Yuhsen Cheng; Takumi Kaneko; Kento Nozawa; Shuichi Fukunaga (EMBC, 2018)

Analyzing Centralities of Embedded Nodes. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (ICDM Workshops, 2018)

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (CoRR, 2018)

PAC-Bayes Analysis of Sentence Representation. - Kento Nozawa; Issei Sato (CoRR, 2019)

PAC-Bayesian Contrastive Unsupervised Representation Learning. - Kento Nozawa; Pascal Germain; Benjamin Guedj (UAI, 2020)

Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning. - Kento Nozawa; Issei Sato (NeurIPS, 2021)

Sharp Learning Bounds for Contrastive Unsupervised Representation Learning. - Han Bao 002; Yoshihiro Nagano; Kento Nozawa (CoRR, 2021)

On the Surrogate Gap between Contrastive and Supervised Losses. - Han Bao 002; Yoshihiro Nagano; Kento Nozawa (ICML, 2022)

Evaluation Methods for Representation Learning: A Survey. - Kento Nozawa; Issei Sato (IJCAI, 2022)

Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey. - Kento Nozawa; Issei Sato (CoRR, 2022)

Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words. - Kento Nozawa; Takashi Masuko; Toru Taniguchi (CoRR, 2024)