13 citations · 21 across the 3 of their papers we have counts for
3 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…
physics.data-an2021★ 8 cited
Predicting high-dimensional heterogeneous time series employing generalized local states
Sebastian Baur, Christoph Räth
We generalize the concept of local states (LS) for the prediction of high-dimensional, potentially mixed chaotic systems. The construction of generalized local states (GLS) relies…
cs.IT2014★ 13 cited
Arithmetic Distribution Matching
Sebastian Baur, Georg Böcherer
In this work, arithmetic distribution matching (ADM) is presented. ADM invertibly transforms a discrete memoryless source (DMS) into a target DMS. ADM can be used for probabilistic…