Author

Melanie Weber

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#artificial intelligence Preprint Sep 2026

Sparse Data Augmentation for Optimization with Provable Guarantees

In nonconvex optimization problems arising in geometric machine learning, data augmentation is commonly used to promote invariance by averaging empirical losses over transformations of the data. Computing the fully augmented objective, however, requires access to every element of the transformation group $G$, which may...

B. Tahmasebi, Melanie Weber · 0 citations

Preprint Aug 2026

Adaptive Symmetry Discovery for Dynamical System Identification

This work studies adaptive symmetry discovery for dynamical system identification and addresses how a system can be identified from a single trajectory when it is equivariant with respect to an unknown symmetry group.

B. Tahmasebi, Melanie Weber · 3 citations