Latent Causal Flow: Continuous Confounder Disentanglement for Time Series via Monte Carlo Flow Matching
Abstract
Latent Causal Flow (LCF) is a generative framework for causal time series analysis that performs exact interventions under continuous latent confounders.
Fields of Study & Subjects
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (XAI)
Advanced Causal Inference Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 January 2026
- Language
- EN
- Document type
- Preprint