- State Space Models, Convolution, SSA, SSM (Spectral Submanifolds)
- Neural and Controlled ODE, Neural PDE, Geometric Learning
- Operator Learning, Physics-informed learning, and multimodeling
- Spatial-Temporal Graph Modeling: Graph convolution and metric tensors
- Riemmannian models; time series generation
- AI for science: mathematical modelling principles
-
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