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followers: 1.0 following: 0.0 repos: 4.0 gists: 0.0

Name: Christina Aigner

Type: User

Company: Technical University Munich

Bio: Data Scientist focusing on deep learning projects, especially ExplainableAI. Research interests in computational neuroscience and medical imaging.

Location: Munich

Christina Aigner's Projects

abele icon abele

Adversarial Black box Explainer generating Latent Exemplars

deepexplain icon deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

exploring-generalization icon exploring-generalization

An comparative study on the paper Exploring Generalization in Deep Learning https://papers.nips.cc/paper/7176-exploring-generalization-in-deep-learning.pdf

midnite icon midnite

This is a unified interpretability framework for pytorch deep neural networks on visual recognition tasks, consisting of various visualization techniques and uncertainty measures. Please use the latest release of our gitLab version.

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