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concept-bottleneck

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Interpretability by construction: route a layer's computation through a certified Legible Bottleneck and emit a runtime Faithfulness Certificate that bounds everything the named concepts cannot explain. Paper and reference implementation.

  • Updated Jul 2, 2026
  • Python

Interpretable spatial graph framework integrating pathway and ligand–receptor priors with tissue architecture. Generates pathway maps and H&E overlays that reveal how tumors organize and rewire signaling in space.

  • Updated Oct 4, 2025
  • Jupyter Notebook

ISIC 2018 dermoscopy deep learning — all three tasks, a concept-bottleneck experiment, a skin-tone fairness audit, and a scored entry on the live ISIC MILK10k leaderboard (macro F1 0.422). My first DL project, retrained in 2026 with an honest retrospective.

  • Updated Jul 26, 2026
  • Jupyter Notebook

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