Multi-Task Learning of Conditional Mean Operators: applications to dynamical systems and uncertainty quantification
MTL-CMO is introduced, a multi-task framework that jointly learns shared function spaces and task-specific operators across multiple datasets and T-CMO, a transfer learning method that reuses the shared spaces to estimate, in closed form, the operator of a new conditional distribution.
Sami Chemlal, Thibaut Germain, Rémi Flamary et al.
· 0 citations