ESI17
Systematic approaches to deep learning methods for audio
11.-15. September 2017
Erwin Schroedinger Institute (Univ. Vienna)
 
 

PARTICIPANTS

registered as of 21st of July, 2017

1. Joakim Anden, Princeton University, US
2. Fabio Anselmi, Massachusetts Institute of Technology (MIT), US
3. Roswitha Bammer, University of Vienna, Austria
4. Stefan Balke, Audiolabs Erlangen. Germany
5. Wojciech Czaja, University of Maryland, US
6. Antoine Deleforge, IRISA, Rennes, France
7. Sander Dielemann, Google DeepMind, London, UK
8. Matthias Dorfer, Johannes Kepler University, Linz, Austria
9. Monika Doerfler, University of Vienna, Austria
10. Simon Durand, Spotify Limited, London, United Kingdom
11. Arthur Flexer, OFAI, Vienna, Austria
12. Aggelos Gkiokas, Institute for Language and Speech Processing, Athens, Greece
13. Thomas Grill, OFAI, Vienna, Austria
14. Philipp Grohs, University of Vienna, Austria
15. Andre Holzapfel, KTH Royal Institute of Technology, Stockholm, Sweden
16. Hendrik Vincent Koops, Utrecht University, The Netherlands
17. Vincent Lostanlen, NYU, New York, US
18. Guido F. Montufar, Max Planck Institute for Mathematics in the Sciences, Germany
19. Gregoire Montavon, Technische Universitaet Berlin, Germany
20. Oriol Nieto, Pandora, US
21. Vinay Rao, Baidu Silicon Valley AI Lab, US
22. Jan Schlueter, OFAI, Vienna, Austria
23. Olga Slizovskaia, University Pompeu Fabra, Barcelona, Spain
24. Saumitra Mishra, Queen Mary University of London, United Kingdom
25. Sebastian Stober, University of Potsdam, Germany
26. Karen Ullrich, University of Amsterdam, The Netherlands
27. Emmanuel Vincent, Inria Nancy - Grand Est, France
28. Irene Waldspurger, MIT, US
29. Pavol Harar, Brno University of Technology, Czechia

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