Search Results for author: Jens Müller

Found 8 papers, 3 papers with code

Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning

no code implementations15 Dec 2023 Jens Müller, Lars Kühmichel, Martin Rohbeck, Stefan T. Radev, Ullrich Köthe

In this work, we analyze the conditions under which information about the context of an input $X$ can improve the predictions of deep learning models in new domains.

Domain Generalization Transfer Learning

Finding Competence Regions in Domain Generalization

1 code implementation17 Mar 2023 Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe

We investigate a "learning to reject" framework to address the problem of silent failures in Domain Generalization (DG), where the test distribution differs from the training distribution.

Domain Generalization

Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?

no code implementations11 Jan 2022 Hongliu Yang, Matthias Eberlein, Jens Müller, Ronald Tetzlaff

Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly help patients suffering from refractory epilepsy.

Seizure prediction Time Series +1

Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence?

no code implementations26 Oct 2021 Jens Müller, Hongliu Yang, Matthias Eberlein, Georg Leonhardt, Ortrud Uckermann, Levin Kuhlmann, Ronald Tetzlaff

Here, we examine false and missing alarms of two algorithms on long-term datasets to show that the limitations are less related to classifiers or features, but rather to intrinsic changes in the data.

Seizure prediction Specificity

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