RosenowGroup

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

   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-OutliersPublic

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

   Jupyter Notebook

3. approximate-symmetries-hessian approximate-symmetries-hessianPublic

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

   Jupyter Notebook