3 papers
cs.LG2026
Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection
Martin Uray, Saverio Messineo, Roland Kwitt +1
Multivariate Time Series Anomaly Detection (MTSAD) is essential for reliability and safety in domains such as industrial process monitoring and financial risk management, yet conve…
q-bio.BM2026
Learning Topological Representations for Molecular Dynamics
Dominik Geng, Florian Graf, Martin Uray +1
Molecular dynamics (MD) simulations generate trajectories in a high-dimensional configuration space whose analysis critically depends on molecular descriptors, typically handcrafte…
cs.CG2026
Topologically Stable Hough Transform
Stefan Huber, Kristóf Huszár, Michael Kerber +1
We propose an alternative formulation of the well-known Hough transform to detect lines in point clouds. Replacing the discretized voting scheme of the classical Hough transform by…