Yangtianze Tao (陶飏天择)
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.
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