“AI & Topology” at the Applied Machine Learning Days 2020, EPFL
This year’s Applied Machine Learning Days will take place on January 27-29, 2020 at EPF Lausanne (Switzerland). The goal of this conference is to bring together the best people in the field to talk about a variety of topics in the practice of machine learning — from technical developments to applications in social, scientific or other domains. Previous editions featured keynote speakers such as Jeff Dean and Christopher Bishop, researchers from academic institutions and industry (Google AI and DeepMind, Facebook AI, IBM Research, Microsoft Research, and others), as well as public figures such as Zeynep Tufekci and Garry Kasparov.
This is the fourth iteration of the event, with more than 1500 people expected to attend each day this time. The event will feature more than 20 domain-specific tracks and, over the weekend preceding the main event, a set of workshops, challenges, and other “hands-on” events.
L2F and the Laboratory for Topology and Neuroscience have the pleasure to announce this year’s AI & Topology track which will take place on Tuesday 28 January. The purpose of the track is to showcase a variety of successful ideas and concrete applications of topology, geometry or other abstract mathematics to machine learning and data analysis. It will feature the following speakers:
- Kathryn Hess Bellwald (EPFL)
- Frédéric Chazal (Inria)
- Vitaliy Kurlin (University of Liverpool)
- Bastian Rieck (ETH)
- Leland McInnes (Tutte Institute)
- Nicole Sanderson (LBNL)
Additionally, there will be a panel discussion with a Q&A session. The talks will be uploaded to YouTube soon after the event.
A range of tickets for the AMLD event (including discounts for students, academics, non-profits and startups) are still available here.