[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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b-cos-networks
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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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Jun 26, 2026 - Python
High-Resolution Image Synthesis with Latent Diffusion Models
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Apr 6, 2025 - Python
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