PhD Student at The University of Tokyo
I’m a PhD student at The University of Tokyo since 2019, working on artificial intelligence and machine learning. Specifically, I’m passionate about sequential generative models and transfer learning with Deep Learning.
Kei Akuzawa, Kotaro Onishi, Keisuke Takiguchi, Kohki Mametani, Koichiro Mori. Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion. APSIPA ASC, December, 2021.
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo. Information-theoretic regularization for learning global features by sequential VAE. In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, online, September, 2021.
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo. Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. In Proc. of the Third Learning for Dynamics and Control (L4DC) Conference, online, 2021. [arxiv].
Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo. Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective. In Proc. of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI), 2020.
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo. Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization. In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Würzburg, Germany, September, 2019 [arxiv(preprint), code].
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo, Expressive speech synthesis via modeling expressions by variational autoencoder, in Proc. Interspeech2018, Hyderabard,India, September, 2018 [arxiv, Demo].