Author

Andreas Dengel

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Preprint Aug 2026

Layers Matter: Why Continual Learning Regularization Should Be Layer-Adaptive

Continual learning regularizers like EWC fight forgetting by penalizing changes from previous-task parameters with per-parameter importance, typically diagonal Fisher values. Per-parameter looks more flexible than per-layer, but each layer's diagonal Fisher is a weak summary of its actual curvature, missing the top-eig...

Brian B. Moser, Ahmed Anwar, T. Nauen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds

Generative modeling of time-dependent data is typically formulated on a discrete temporal grid, restricting supervision to the observed timestamps in the training data. We instead frame generation as continuous-time evolution on a learned data manifold. To this end, we leverage pretrained score-based models as geometri...

Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov et al. · 0 citations