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Personal Webpage of Max Horn


This is the personal webpage of Max Horn, PhD Student in Machine Learning and Computational Biology at ETH Zürich.


Presentation of Set Function for Time Series and Topological Autoencoders at ICML 2020

This week we presented two of our papers at ICML 2020, it was a great experience to talk with others about our research and to think of future directions and applications of our methods. I want to use this page to point out reference materials for these publications.

Set Functions for Time Series

“Set Functions for Time Series” is work done together with Michael Moor, Christian Bock, Bastian Rieck and my PhD Advisor Karsten Borgwardt.

In the core we propose to rephrase learning on irregularly sampled time series data as a set classification problem. This mitigates the necessity of imputing time series prior to the application of Deep Learning models and allows their direct application. For further details please see the links below:

Paper
ICML 2020 arXiv
Talk
ICML 2020, Slides
Code
Models, Datasets

Topological Autoencoders

The work “Topological Autoencoders” was joint work with my colleagues Michael Moor and Bastian Rieck and my PhD Advisor Karsten Borgwardt.

In this work we propose to constrain the topology of the latent representation of an autoencoder using methods from topological data analysis. Michael wrote a wonderful blog post about the paper giving an intuitive introduction here. Below you can see our devised approach in action compared to a vanilla autoencoder.

Training visualization Topological Autoencoder Training visualization Vanilla Autoencoder

Paper
ICML 2020 arXiv
Talk
ICML 2020, Slides
Code
GitHub
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