A Topology Layer for Machine Learning

29 May 2019Rickard Brüel-GabrielssonBradley J. NelsonAnjan DwaraknathPrimoz SkrabaLeonidas J. GuibasGunnar Carlsson

Topology applied to real world data using persistent homology has started to find applications within machine learning, including deep learning. We present a differentiable topology layer that computes persistent homology based on level set filtrations and edge-based filtrations... (read more)

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