2 papers
cs.CL2026
Riemannian Geometry for Pre-trained Language Model Embeddings
Szczepan Konior, Alexandre Quemy, PrzemysÅaw Klocek +2
Understanding the geometric structure of pre-trained language model embeddings matters for interpretability and safety. We ask whether sentence-level classification signal lives in…
cs.HC2025
The Riemannian Means Field Classifier for EEG-Based BCI Data
Anton Andreev, Grégoire Cattan, Marco Congedo
A substantial amount of research has demonstrated the robustness and accuracy of the Riemannian minimum distance to mean (MDM) classifier for all kinds of EEG-based brain--computer…