Soledad Villar

Tensor learning with orthogonal, Lorentz, and symplectic symmetries

Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations

On Transferring Transferability: Towards a Theory for Size Generalization

Learning equivariant tensor functions with applications to sparse vector recovery