Yue Yu

Disentangled Representation Learning for Parametric Partial Differential Equations

Scalable Circuit Learning for Interpreting Large Language Models

Towards a Foundation Model Approach for Causal Graph Learning

Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery

Disentangled Representation Learning for Parametric Partial Differential Equations