Author

Rémi Flamary

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#machine learning Preprint Sep 2026

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

#machine learning Preprint Sep 2026

Graph Matching Relaxations and Amortization for Supervised Graph Prediction

This work proposes to amortize the graph matching (node alignment) problem and showcases the efficiency of this approach on toy and real world SGP problems of increasing complexity including a novel Mass-spectra to Scaffold task that is introduced.

F. Méndez, Paul Krzakala, Gabriel Melo et al. · 0 citations