2 citations · 2 across the 2 of their papers we have counts for
3 papers
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.CV2025
VGDM: Vision-Guided Diffusion Model for Brain Tumor Detection and Segmentation
Arman Behnam
Accurate detection and segmentation of brain tumors from magnetic resonance imaging (MRI) are essential for diagnosis, treatment planning, and clinical monitoring. While convolutio…
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,…