research
Causal AI — causal discovery, causal generative models, and causal effect estimation.
Time-Series Causal Normalizing Flows
UAI 2026
A framework that extends causal normalizing flows to time-series, enabling simulation-based interventional density estimation over time.
Breaking Bad: Component-Wise Parent Deletion
UAI 2026
A novel, simple, yet powerful operator for score-based causal discovery, which is theoretically sound and compatible with existing score-based methods.
LLM Priors for Causal Discovery
IEEE Access
A framework that integrates LLM-based causal reasoning into data-driven causal discovery, resulting in improved and robust performance.