2 papers
cs.LG2025
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
We propose Equivariance by Contrast (EbC) to learn equivariant embeddings from observation pairs , where is drawn from a finite group acting o…
stat.ML2025
Self-supervised contrastive learning performs non-linear system identification
Rodrigo González Laiz, Tobias Schmidt, Steffen Schneider
Self-supervised learning (SSL) approaches have brought tremendous success across many tasks and domains. It has been argued that these successes can be attributed to a link between…