2 papers
physics.data-an2026
Interpretable model-free inference of parametric variation across time-series data through large-scale feature extraction
Ben D. Fulcher, Carl H. Lubba, Giorgio F. Gilestro +2
Here we address the problem of estimating the dimensionality and nature of parametric variation in an unknown generative process directly from time-series data, without specifying…
cs.SI2025
Geodesic Length Distribution in Sparse Network Ensembles
Sahil Loomba, Nick S. Jones
A key task in the study of networked systems is to derive local and global properties that impact connectivity, synchronizability, and robustness; computing shortest paths or geode…