10 citations · 11 across the 4 of their papers we have counts for
4 papers
Unsupervised Domain Shift Detection with Interpretable Subspace Attribution
Sebastian Springer, Alessandro Laio
We developed a tool for detecting domain shifts, namely subtle differences in the probability distributions of datasets. We identify these shifts using an algorithm designed to det…
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics
Sebastian Springer, Andre Scaffidi, Maximilian Autenrieth +4
Detecting localized differences between two samples is a central task in scientific data analysis, required for the identification of signal events, regime changes, or model mismat…
Coarse Grained Molecular Dynamics with Normalizing Flows
Samuel Tamagnone, Alessandro Laio, Marylou Gabrié
We propose a sampling algorithm relying on a collective variable (CV) of mid-size dimension modelled by a normalizing flow and using non-equilibrium dynamics to propose full config…
Agnostic detection of large-scale weather patterns in the northern hemisphere: from blockings to teleconnections
Sebastian Springer, Vera Melinda Galfi, Alessandro Laio +1
Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge on the low-frequency variability of the atmosphere an…