VDSP-ESI Winter School on Machine Learning in Physics

VDSP-ESI Winter School 2020

Machine learning is currently changing science and technology, including physics. 
We invite Master and PhD students of physics, chemistry and materials science as well as early postdocs from all over the world to join us for keynote talks by leading experts in the field which will be complemented by hands-on class activities.

The Winter School will provide them with a better understanding of fundamental concepts and practical applications of machine learning as well as skills to develop and apply this technique to concrete research tasks.

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).

The program contains the following modules.

February 10 - 11, 2020: Introduction to Machine Learning
February 12 - 13, 2020: Machine Learning in Material Science
February 14, 2020: Case Studies & Discussion
February 14, 2020: AI Start-Ups Lunch
February 17 - 18, 2020: Machine Learning in Quantum Science
February 19 - 20, 2020: Machine Learning in Particle Physics
 

Program (pdf)


Location: Faculty of Physics, Christian-Doppler Lecture Hall, Strudlhofgasse 4, 3rd floor, 1090 Vienna
Map

The registration deadline closes on 24 November 2019.

For your application and more detailed information see: Link to Winter School website

Poster (pdf)

Coming soon.

  • Alia Abbara (ENS Paris)
  • Peter Allmer (U Vienna)
  • Amit Anand (IIEST, Shibpur)
  • Janik Andrejkovic (HEPHY Vienna)
  • Jörg Behler (U Göttingen)
  • Lisa Benato (U Hamburg)
  • Claudia Berkmann (U Vienna)
  • Julius Berner (U Vienna)
  • Jure Brence (Jozef Stefan Institute)
  • Tim Brückler (TU Vienna)
  • Cameron Buckner (U of Houston)
  • Srinath Bulusu (TU Vienna)
  • Michele Ceriotti (EPFL Lausanne)
  • Iurii Chubak (U Vienna)
  • Christoph Dellago (U Vienna) — Organizer
  • Andreas Doblhammer (TU Vienna)
  • Jan Doumont (TU Vienna)
  • Viktoria Erben (U Vienna) — Organizer
  • Matteo Favoni (TU Vienna)
  • Dario Fiore Mosca (U Vienna)
  • Leon Freitag (U Vienna)
  • Marylou Gabrié (NYU, New York)
  • Monika Gesvandtnerova (Comenius University)
  • Alexander Goscinski (EPFL Lausanne)
  • Jingkun Guo (TU Delft)
  • Benedikt Hartl (TU Wien)
  • Giulio Imbalzano (EPFL Lausanne)
  • Heena Inani (U Vienna)
  • Clemens Jochum (TU Vienna)
  • Gregor Kasieczka (U Hamburg)
  • Filip Kiałka (U Vienna)
  • Tsz Wai Ko (Georg-August-U, Göttingen)
  • Péter Kovács (TU Vienna)
  • Jaroslav Kysela (U Vienna)
  • Jonathan Lahnsteiner (U Vienna)
  • Jinggang Lan (U Zürich)
  • Sergio Leal Gómez (U Vienna)
  • Daniel Lechner (U Vienna)
  • Christopher Lepenik (U Vienna)
  • Maximilian Lerchbaumer (TU Vienna)
  • Maximilian Liebetreu (U Vienna)
  • Christiane Losert-Valiente Kroon (U Vienna) — Organizer
  • Jan Lüdtke (U Vienna)
  • Matteo Magi (U Bologna)
  • Florian Marquardt (MPI, Erlangen)
  • Martin Mauser (U Vienna)
  • Johannes Mellak (TU Graz)
  • Naeimeh Mohseni (MPI, Erlangen)
  • Pablo Montero (Complutense University of Madrid)
  • Deniz Mostarac (U Vienna)
  • Félix Musil (EPFL Lausanne)
  • Torsten Möller (U Vienna)
  • Marco Nikolic (U Vienna)
  • Ivan Novikau (U Vienna)
  • Lorenzo Papa (U Vienna)
  • Hendrik Poulsen Nautrup (U Innsbruck)
  • Francesco Preti (U Innsbruck)
  • Madlen Maria Reiner (U Vienna)
  • Michele Reticcioli (U Vienna)
  • Stefan Riemelmoser (U Vienna)
  • Franz Martin Rohrhofer (TU Graz)
  • Margaret Rosenberg (U Vienna)
  • Valeria Saggio (U Vienna)
  • Christoph Schattauer (TU Vienna)
  • Daniel Schuh (TU Vienna)
  • Ludwig Schwiedrzik (U Vienna)
  • Raffaele Silvestri (U Vienna)
  • John Sebastian Simon (Kanazawa University)
  • Valerie Smejkal (TU Vienna)
  • Andisheh Tarbiat (U Vienna)
  • Lea Trenkwalder (U Innsbruck)
  • Stephan Troyer (U Vienna)
  • Gerhard Ungersbäck (TU Vienna)
  • Lorenzo Varrassi (U Bologna)
  • Tom Vermeyen (U Antwerpen)
  • Alvise Vianello (Imperial College, London)
  • Dávid Vrška (Comenius University)
  • Wolfgang Waltenberger (HEPHY Vienna)
  • Gregor Wautischer (U Vienna)
  • Jin Wen (U Vienna)
  • Julia Westermayr (U Vienna)
  • Klemens Winkler (U Vienna)
  • Peter Wirnsberger (DeepMind)
  • Daniel Wirtitsch (U Vienna)
  • Georg Zagler (U Vienna)
At a glance
Type:
Graduate School
When:
Feb. 10, 2020 -- Feb. 20, 2020
Where:
Faculty of Physics
Organizer(s):
Markus Arndt (U Vienna)
Christoph Dellago (U Vienna)
Viktoria Erben (U Vienna)
Christiane Losert-Valiente Kroon (U Vienna)
Massimiliano Procura (U Vienna)
More:
Website