Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …

Chaotic dynamical systems (DS) are ubiquitous in nature and society. Often we are
interested in reconstructing such systems from observed time series for prediction or …

Exploring the full spectrum of novel behaviors that a system can produce can be an
intensive task. Sampling techniques developed in response to this exploration challenge …

Trotz ihres erwiesenen Potenzials sind moderne Methoden des maschinellen Lernens in
der Praxis oft nicht ohne Weiteres anwendbar, zB für viele Modellierungs-oder …

Dynamical systems across the sciences, from electrical circuits to ecological networks,
undergo qualitative and often catastrophic changes in behavior, called bifurcations, when …