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
- Kento Nozawa, Pascal Germain and Benjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning. In UAI, pages 21–30, 2020.
- 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.