Tailored Forecasting from Short Time Series via Meta-Learning

Delayed Dynamical Systems: Networks, Chimeras and Reservoir Computing

Identifying and Predicting Parkinson's Disease Subtypes through Trajectory Clustering via Bipartite Networks

Using Machine Learning to Predict Statistical Properties of Non-Stationary Dynamical Processes: System Climate, Regime Transitions and the Effect of Stochasticity

An Integrated Model for Interdisciplinary Graduate Education: Computation and Mathematics for Biological Networks

Cubic Maps as Models of Two-Dimensional Antimonotonicity

Calculating Topological Entropies of Chaotic Dynamical Systems

Using Chaos to Direct Trajectories to Targets

Controlling Chaos

The Fast Kinematic Magnetic Dynamo and the Dissipationless Limit