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cs.LG2026
Structure-agnostic Causal Representation Learning
Arman Behnam, Binghui Wang
Causal representation learning aims to discover robust features by exploiting the causal structure underlying data generation. Existing methods require specifying the causal struct…
cs.LG2025
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam, Binghui Wang
Causal representation learning in the anti-causal setting (labels cause features rather than the reverse) presents unique challenges requiring specialized approaches. We propose An…
cs.LG2024★ 2 cited
Graph Neural Network Causal Explanation via Neural Causal Models
Arman Behnam, Binghui Wang
Graph neural network (GNN) explainers identify the important subgraph that ensures the prediction for a given graph. Until now, almost all GNN explainers are based on association,…