[NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
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Oct 13, 2025 - Jupyter Notebook
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inherent-interpretability
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[MICCAI 2026] Code for the paper: Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networks.
pytorch medical-imaging anti-aliasing interpretability explainable-artificial-intelligence chest-xray b-cos-networks inherent-interpretability miccai-2026
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Sep 24, 2026 - Python
[TPAMI 2026] Official Repository for MCPNet++: An Interpretable Classifier via Multi-Level Concept Prototypes
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May 1, 2026 - Python
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