NeurIPS "interpretable machine learning" Papers
2 papers found
Causally Reliable Concept Bottleneck Models
Giovanni De Felice, Arianna Casanova Flores, Francesco De Santis et al.
NeurIPS 2025posterarXiv:2503.04363
5
citations
MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
Viet-Hung Tran, Ngoc Phu Doan, Zichi Zhang et al.
NeurIPS 2025poster