2025
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
NeurIPS 2025poster
Uncovering cause-effect relationships from observational time series is fundamental to understanding complex systems. While many methods infer static causal graphs, real-world systems often exhibit *dynamic causality*—where relationships evolve over time. Accurately capturing these temporal dynamics…