Yuhe Sui

I study the mathematical structure of learning and decision-making, and the design of reliable AI systems for research. About me →

Research interests

Attention & Representation: Mathematical structure, approximation and representation complexity, intrinsic geometry, and invariances of attention mechanisms and learned representations.
Learning & Decision-Making: Reinforcement learning, policy optimisation, in-context learning of algorithms, stochastic control, and structured decision procedures.
Scientific AI Systems: Reliable long-horizon AI systems for research, with emphasis on hierarchical execution, verification, provenance, recoverability, and human control.
Mathematical & Quantitative Methods: Probability, optimisation, discrete mathematics, statistical learning, and quantitative applications.