Xian-Xin Lai

Intervene, Calibrate, Discover: Learning Causal Structure from Pixels

Learning high-level causal variables from low-level observations is a central problem for artificial intelligence. With known node semantics but an unknown graph, visual readout errors can misalign model settings with environment intervention values. We address this mismatch by pairing image readouts with verified valu...