anomaly detection 1change-point detection 1foundation models 1multivariate time series 1zero-shot learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection
Martin Uray, Saverio Messineo, Roland Kwitt +1
The paper investigates using a pre‑trained univariate forecasting foundation model (TimesFM) in a zero‑shot manner for multivariate time‑series anomaly detection on the SWaT benchm…
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…