3 citations · 5 across the 17 of their papers we have counts for
4 papers · 1 filter
Regime Identification for Improving Causal Analysis in Non-stationary Timeseries
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Time series data from real-world systems often display non-stationary behavior, indicating varying statistical characteristics over time. This inherent variability poses significan…
Physics Informed Modeling of Ecosystem Respiration via Dynamic Mode Decomposition with Control Input
Maha Shadaydeh, Joachim Denzler, Mirco Migliavacca
Ecosystem respiration (Reco) represents a major component of the global carbon cycle, and accurate characterization of its dynamics is essential for a comprehensive understanding o…
Embracing the black box: Heading towards foundation models for causal discovery from time series data
Gideon Stein, Maha Shadaydeh, Joachim Denzler
Causal discovery from time series data encompasses many existing solutions, including those based on deep learning techniques. However, these methods typically do not endorse one o…
Deep Learning-based Group Causal Inference in Multivariate Time-series
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Causal inference in a nonlinear system of multivariate timeseries is instrumental in disentangling the intricate web of relationships among variables, enabling us to make more accu…