[IEEE TMI 2024] MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images
-
Updated
Dec 8, 2025 - Python
#
concept-bottleneck
Here are 7 public repositories matching this topic...
[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"
hashing attention image-retrieval fine-grained interpretability deep-hashing concept-discovery fgvc part-based cvpr2024 concept-bottleneck cvprw2024 fine-grained-retrieval fine-grained-hashing fgvc11 concepthash
-
Updated
Nov 5, 2024 - Jupyter Notebook
A list of awesome resources related to constraint learning
model human-in-the-loop logical-constraints model-editing neurosymbolic-ai domain-constraint concept-bottleneck
-
Updated
Jul 11, 2026 - Python
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.
deep-learning agi pytorch transparency ai-safety interpretability runtime-verification sparse-autoencoder interpretable-ai explainable-ai ai-alignment neural-network-verification trustworthy-ai mechanistic-interpretability faithfulness concept-bottleneck transcoders causal-abstraction glass-box certified-ai
-
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.
reproducible-research pathway-analysis graph-neural-networks interpretable-machine-learning spatial-transcriptomics tumor-microenvironment ligand-receptor concept-bottleneck deep-learning-in-biology
-
Updated
Oct 4, 2025 - Jupyter Notebook
Interpretable multimodal neural network framework that integrates single-cell and spatial omics through biologically constrained, concept-bottleneck architectures.
cancer-genomics single-cell-analysis explainable-ai graph-neural-networks interpretable-machine-learning spatial-transcriptomics multi-omics-integration concept-bottleneck deep-learning-in-biology
-
Updated
Oct 6, 2025 - Jupyter Notebook
Interpretable perturb-seq modeling with a pathway/TF concept bottleneck — predicts effects and identifies stable regulatory drivers that generalize across datasets.
bioinformatics reproducible-research systems-biology single-cell pathway-analysis causal-inference interpretable-ml perturb-seq concept-bottleneck
-
Updated
Oct 15, 2025 - Python
Improve this page
Add a description, image, and links to the concept-bottleneck topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the concept-bottleneck topic, visit your repo's landing page and select "manage topics."