Measuring generalization properties of graph neural networks
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Updated
Aug 11, 2025 - Python
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generalization-gap
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Features extractors for tensorflow models used to estimate generalization gap
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Updated
Dec 21, 2020 - Python
Investigating DRL DCVAE} for mitigating 15% domain shift in cardiac MRI segmentation. Conclusively proves the Information Bottleneck trade-off: 0.02 generalization gap vs. 0.25 DSC performance. Structural limits of DRL identified for high-detail medical tasks.
python reproducible-research jupyter-notebook pytorch representation-learning variational-autoencoder domain-adaptation information-bottleneck feature-disentanglement adversarial-training domain-generalization conditional-variational-autoencoder generalization-gap medical-imaging-segmentation cardiovascular-imaging disentangled-representation-learning cardiac-mri-segmentation multi-vendor-data deep-learning-in-medicine content-utility-tradeoff
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Dec 20, 2025 - Jupyter Notebook
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