Skip to content

Author

T. Schlagenhauf

We have 2 of 6 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Nov 2024

Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing

This framework is the first to address catastrophic forgetting by leveraging models in CL as their own memory buffers by exploiting an implicit bias of gradient-based neural networks due to which these converge to margin maximization points.

Pascal Janetzky, T. Schlagenhauf, Michael Klar et al. · 0 citations
Book Open access Aug 2026

Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing

Continual learning (CL) aims to incrementally update machine learning models from a stream of data without forgetting previously acquired knowledge. CL is highly relevant in many real-world applications such as manufacturing, where storing historical data for retraining is often infeasible due to volume, governance, or...

Pascal Janetzky, T. Schlagenhauf, Michael Klar et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.