Cassidy B. and Rae C. (2015)Brain activity: Conditional dissimilarity and persistent homology
Spreemann G., Dunn B., Bakke Botnan M., and Baas N.A. (2015)Using persistent homology to reveal hiddeninformation in neural data
Gori M., Franzosi R. and Pettini M. (2018) Topological origin of phase transitions in the absence ofcritical points of the energy landscape
Dey T., Mandal S., Varcho W. (2017) Improved Image Classification using Topological Persistence
Elbers W. and van de Weygaert R. (2018) Persistent topology of the reionisation bubble network. I:Formalism & Phenomenology NOTE: Has a good summary of TDA techniques
Hofer C., Kwitt R., Niethammer M., Uhl A. (2017)Deep Learning with Topological Signatures
Merelli E., Rasetti M. and Pettini M. (2015) Topology driven modeling: the IS metaphor
Baas N.A. (2018) TOPOLOGY AND HIGHER CONCURRENCIES
THIS
http://www.roboticsproceedings.org/rss10/p54.pdf
https://link.springer.com/chapter/10.1007/978-3-030-00755-3_8
https://arxiv.org/pdf/1809.00050.pdf
https://www.math.uni-hamburg.de/home/iske/papers/asignalKernel2.pdf
http://pages.cs.wisc.edu/~jerryzhu/pub/ijcai16.pdf
https://arxiv.org/pdf/1809.10231.pdf
https://ieeexplore.ieee.org/abstract/document/8451522
https://arxiv.org/abs/1903.01073
https://arxiv.org/pdf/1902.08511.pdf
https://link.springer.com/content/pdf/10.1007%2Fs00454-017-9927-2.pdf
https://www.sciencedirect.com/science/article/pii/S1364661319300427
https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
https://arxiv.org/pdf/1704.08382.pdf
https://snap.stanford.edu/class/cs224w-readings/burt00capital.pdf#page=1&zoom=auto,-253,792
https://link.springer.com/content/pdf/10.1007/978-3-540-70904-6_6.pdf
https://dfdazac.github.io/sinkhorn.html
https://www.nature.com/articles/s41586-019-0919-7
https://arxiv.org/pdf/1902.09302.pdf
http://statweb.stanford.edu/~cgates/PERSI/papers/MCMCRev.pdf