Lee Lab @ UW Allen School

A repository for explaining feature attributions and feature interactions in deep neural networks.

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Tools for training explainable models using attribution priors.

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Code and documentation for experiments in the TreeExplainer paper

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Implementation of the AIControl paper in Julia 1.0

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Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

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Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"

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DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimensional...

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