Machine Learning in Physics

VDSP-ESI Winter School 2020

Monday, 10 Feb 2020 - Thursday, 20 Feb 2020
Faculty of Physics, University of Vienna

Invited Speakers

Week 1

10-11 Feb

Introduction to Machine Learning

Philipp Grohs (University of Vienna, AT)

Marylou Gabrié (New York University, USA): Statistical physics for machine learning (Abstract)

14 Feb

Case Studies & Discussion

Torsten Möller (University of Vienna, AT): Democratizing Data Science -- the human in the loop (Abstract)

Peter Wirnsberger (DeepMind, UK) 

Stefan Thurner (MedUni Vienna & CSH Vienna, AT): Making sense of Big Data in Medicine (Abstract)

Cameron Buckner (University of Houston, US): Is model transparency good or bad for scientific applications of deep learning? (Abstract)

12-13 Feb

Machine Learning in Materials Science

Jörg Behler (Göttingen, DE): High-Dimensional Neural Network Potentials for Atomistic Simulations (Abstract)

Michele Ceriotti (EPFL, CH): Unsupervised machine learning in atomistic simulations, between predictions and understanding (Abstract)

14 Feb

AI Start-Ups Lunch

Patrick Blies (EnliteAI)

Jason Hölscher-Obermaier (ondewo)

Valentin Stauber (

Paul Tiwald (Mostly AI)

Week 2

17-18 Feb

Machine Learning in Quantum Science

Hans Briegel (University of Innsbruck, AT)

Florian Marquardt (MPI Erlangen, DE)

19-20 Feb

Machine Learning in Particle Physics

Wolfgang Waltenberger (HEPHY, AT)

Gregor Kasieczka (Hamburg University, DE)


Please note that this is a public event. We reserve the right to take pictures for the purpose of publishing impressions of the event on the website. If you do not want to be in a picture please approach the organizers of the VDSP-ESI Winter School anytime.


The Winter School "Machine Learning in Physics" is organised jointly by the Vienna Doctoral School in Physics (VDSP) and the Erwin Schrödinger International Institute for Mathematics and Physics (ESI). It is co-financed by the Vienna Doctoral Program on Complex Quantum Systems (CoQuS) and the Doctoral College Particles and Interactions (DKPI).

Organizing Committee:

Univ.-Prof. Dr. Markus Arndt

Univ.-Prof. Dr. Christoph Dellago

Ass.-Prof. Dr. Massimiliano Procura, Privatdoz.

Dr. Christiane Maria Losert-Valiente Kroon