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stat.ML2025
Nonlinear Causal Discovery for Grouped Data
Konstantin Göbler, Tobias Windisch, Mathias Drton
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables. In many impo…
stat.ML2024
A method to benchmark high-dimensional process drift detection
Edgar Wolf, Tobias Windisch
Process curves are multivariate finite time series data coming from manufacturing processes. This paper studies machine learning that detect drifts in process curve datasets. A the…