concept-bottleneck

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

[IEEE TMI 2024] MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images

[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"

A list of awesome resources related to constraint learning

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.

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.

Interpretable multimodal neural network framework that integrates single-cell and spatial omics through biologically constrained, concept-bottleneck architectures.

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.

Code and checkpoints for "The Illusion of Control: Why Bare Classifier Inversion Silently Fails in Concept-Bottleneck Text Generation" (EMNLP 2026). Multi-attribute controllable text generation, concept bottleneck, compositional generalization.

Interpretable perturb-seq modeling with a pathway/TF concept bottleneck — predicts effects and identifies stable regulatory drivers that generalize across datasets.