2 papers
cs.LG2025
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye, Stefan Haufe, Lars Kai Hansen
Suppressor variables can influence model predictions without being dependent on the target outcome, and they pose a significant challenge for Explainable AI (XAI) methods. These va…
eess.SP2024
SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning
Anders Gjølbye, Lina Skerath, William Lehn-Schiøler +2
Electroencephalography (EEG) research typically focuses on tasks with narrowly defined objectives, but recent studies are expanding into the use of unlabeled data within larger mod…