2 papers
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…
stat.ML2025
Time-series attribution maps with regularized contrastive learning
Steffen Schneider, Rodrigo González Laiz, Anastasiia Filippova +2
Gradient-based attribution methods aim to explain decisions of deep learning models but so far lack identifiability guarantees. Here, we propose a method to generate attribution ma…