Author

S. Hofmann

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#machine learning Preprint Sep 2026

Representational and Functional Robustness to Electrode Montages in EEG Foundation Models

EEG foundation models (EEG-FMs) are intended to generalize across different datasets by learning representations that, ideally, are invariant to dataset-specific EEG configurations such as electrode montages. However, EEG-FMs that accept different montages as input do not guarantee that representations and predictions...

Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi et al. · 0 citations

#machine learning Nov 2025

Attention Trajectories as a Diagnostic Axis for Deep Reinforcement Learning

A methodological framework for analyzing the learning process through quantitative analysis of saliency maps aggregates saliency information at the object and modality level into hierarchical attention profiles, quantifying how agents allocate attention over time, thereby forming attention trajectories throughout train...

Charlotte Beylier, Hannah Selder, A. Fleig et al. · arXiv.org · 0 citations