Kento Nozawa
08 May 2021

Bio

Kento Nozawa is a 4th year Ph.D. student who does research on machine learning. His current research interests are self-supervised learning and PAC-Bayes theory. He is supervised by Dr. Issei Sato at Issei Sato Lab. He is also a part-time research assistant at RIKEN AIP and a part-time engineer at Preferred Networks, Inc. for Optuna. During summer 2019, he visited UCL AI Centre and Inria Lille Nord Europe Modal team to work on PAC-Bayes and contrastive representation learning.

Journal / Conference papers

  1. Kento Nozawa, Pascal Germain and Benjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning. In UAI, pages 21–30, 2020. arXiv, video, slides, code.
  2. Atsunori Kanemura, Yuhsen Cheng, Takumi Kaneko, Kento Nozawa and Shuichi Fukunaga. Imputing Missing Values in EEG with Multivariate Autoregressive Models. In EMBC, pages 2639–2642, 2018.

Pre-print

  1. Kento Nozawa and Issei Sato. Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning. 2021. arXiv.
  2. Kento Nozawa and Issei Sato. PAC-Bayes Analysis of Sentence Representation. 2019. arXiv.