2 papers
cs.LG2026
Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems
Jonas Braun, Fabian Fischbach, Daniel Köglmayr +2
Machine learning methods predict many real-world systems with remarkable accuracy, but they are typically treated as black boxes that offer no insight into which interactions drive…
cs.LG2025
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
Tamon Nakano, Sebastian Baur, Christoph Räth
As an alternative approach for predicting complex dynamical systems where physics-based models are no longer reliable, reservoir computing (RC) has gained popularity. The hybrid ap…