RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

Last update: Dec 12, 2022

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Deep Learning ripsnet

Overview

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

This repository contains the code asscoiated to this arXiv article.

tutorial.ipynb is a jupyter-notebook to run a small version of our experiments on a synthetic data set. It has been tested with Tensorflow version 2.5.0.
expes_synth_ucr.zip contains code and instructions for reproducing the full experiments on synthetic and UCR time series data sets.
expes_3Dshape.zip contains code and instructions for reproducing the full experiments on 3D shape data sets.

Owner

Felix Hensel

Postdoc in Machine Learning and TDA PhD in Mathematics

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