Yangtianze Tao (陶飏天择)

Phd Candidate Department of Mathematical Sciences Tsinghua University Beijing 100084, China E-mail: tytz19@mails.tsinghua.edu.cn My [Google Scholar] and [GitHub]

About me

I obtained my B.S. degree (Honor Track) at the college of mathematics, Sichuan University, Chengdu, China, in 2019. I am currently pursuing the Ph. D. degree in Applied Mathematics from the Department of Mathematical Sciences under the supervision of Prof. Stephen, Yau, Tsinghua University, Beijing, China.

Research Interest

• Control-based machine learning: The statistical signal processing problems related to machine learning, especially filtering and estimation problems based on state-space models (SSMs).
  

• Robust estimation: the estimation problems based on the statistical similarity measure (e.g., Correntropy).
  

• Reinforcement learning: Opponent modeling and incomplete observation problems.
  

• Recurrent neural networks and Bayesian filtering: The capability of recurrent neural networks to approximate trajectories of a stochastic dynamical system with noisy sequential inputs.
  

• AI for science: Application of machine learning and deep learning in materials science.