Author

Karim Lounici

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#machine learning Preprint Oct 2026

Langevin-Informed Transfer Learning: Replacing Target Samples by Black-Box Feedback

Many scientific and machine learning systems, from molecular dynamics to diffusion models and beyond, are governed by stochastic dynamics with low-dimensional structure, evolving on slow timescales. However, target trajectories, used to identify and interpret such dynamics, are often inaccessible: only biased or static...

Vladimir R. Kostic, Karim Lounici, Hélène Halconruy et al. · 0 citations

#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