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@RosenowGroup

RosenowGroup

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  1. Hessian-eigenvectors-PCA-DNN-weights Hessian-eigenvectors-PCA-DNN-weights Public

    The code used to train and analyze networks for RMT and PCA in tensorflow

    Jupyter Notebook

  2. BBP-Phase-Transition-for-an-Extensive-Number-of-Outliers BBP-Phase-Transition-for-an-Extensive-Number-of-Outliers Public

    Python code for the results and figures used in the manuscript.

    Jupyter Notebook

  3. approximate-symmetries-hessian approximate-symmetries-hessian Public

    Code accompanying the manuscript "Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks" (M. Kühn and B. Rosenow).

    Jupyter Notebook

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