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Workshop

Tropical Geometry Tools for Machine Learning and Phylogenomics

  • Ruriko Yoshida (Naval Postgraduate School, Monterey)
E1 05 (Leibniz-Saal)

Abstract

Linear algebra provides key tools in statistical and machine learning models. Tropical geometry can be described as the piecewise-linear analogue of classical geometry and in this talk we discuss recent exciting developments in “tropical geometric machine learning tools” in the rapidly growing area of phylogenomics, which can provide insight into relationships and evolutionary patterns of a diversity of organisms, from humans, plants and animals, to microbes and viruses. This is joint work with a subset of the following wonderful researchers: David Barnhill, George Aliatimis, John Sabol, Chris Teska, Keiji Miura, Kurt Pasque, Jefferson Huang.

Saskia Gutzschebauch

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Mirke Olschewski

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Jürgen Jost

Max-Planck-Institut für Mathematik in den Naturwissenschaften

Michael Joswig

Technical University Berlin

Peter Stadler

Leipzig University

Bernd Sturmfels

Max Planck Institute for Mathematics in the Sciences

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