torchph

In this repository I gather my extensions to PyTorch. The packaging structure tries to reproduce PyTorch's structure in order to facilitate usage for people familiar with PyTorch.

Documentation

Read the docs!

The folder tutorials contains some minimalistic examples in form of Jupyter notebooks to demonstrate how to use the PyTorch extensions.

Associated publications

If you use any of these extensions, please cite the following works (depending on which functionality you use, obviously :)

@inproceedings{Hofer17a,
  author    = {C.~Hofer, R.~Kwitt, M.~Niethammer and A.~Uhl},
  title     = {Deep Learning with Topological Signatures},
  booktitle = {NIPS},
  year      = {2017}}

@inproceedings{Hofer19a,
  author    = {C.~Hofer, R.~Kwitt, M.~Dixit and M.~Niethammer},
  title     = {Connectivity-Optimized Representation Learning via Persistent Homology},
  booktitle = {ICML},
  year      = {2019}}

@inproceedings{Hofer19c,
  author    = {C.~Hofer, R.~Kwitt, and M.~Niethammer},
  title     = {Learning Representations of Persistence Barcodes Homology},
  booktitle = {JMLR},
  year      = {2019}}
  
@inproceedings{Hofer19b,
  author    = {C.~Hofer, F.~Graf, R.~Kwitt, B.~Rieck and M.~Niethammer},
  title     = {Graph Filtration Learning},
  booktitle = {arXiv},
  year      = {2020}}
  
@inproceedings{Hofer20a,     
  author    = {C.~Hofer, F.~Graf, M.~Niethammer and R.~Kwitt},     
  title     = {Topologically Densified Distributions},     
  booktitle = {arXiv},    
  year      = {2020}}