Latent Causal Flow: Continuous Backdoor Adjustment for Time Series Generation
Deep generative models have achieved remarkable success in time series generation, yet they largely neglect interventional and counterfactual inference. Existing causal generative methods typically rely on discrete environment prototypes, which fail to capture the continuous nature of real-world confounding. To address...