Projects

Graph Neural Networks

Latent Causal Discovery in Reinforcement Learning and Large Language Models

Exploring identifiable latent causal structures to improve decision-making in reinforcement learning and interpretability in large language models.

AI for Science

Leveraging artificial intelligence and machine learning to address complex scientific challenges across diverse domains, including civil engineering, chemistry, fluid dynamics, …

Advances in Differentiable DAG Learning: Analytic Constraints and Truncated Power Iteration

This project integrates two recent advances in differentiable DAG learning: (1) analytic DAG constraints for improved computational stability and (2) Truncated Matrix Power …