Jürgen Schmidhuber

IDSIA

Names

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Jürgen Schmidhuber

Emails

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****@idsia.ch

Education & Career History

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Full Professor
IDSIA (idsia.ch)
Present
 
Chief Scientist
NNAISENSE (nnaisense.com)
2014Present
 

Advisors, Relations & Conflicts

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Coauthor
Mitko Veta
****@tue.nl
20142015
 
Coauthor
Josef Kittler
****@surrey.ac.uk
20142015
 
Coauthor
Bogdan Matuszewski
****@uclan.ac.uk
20142015
 
Coauthor
Anant Madabhushi
****@case.edu
20142015
 
Coauthor
Nasir Rajpoot
****@qu.edu.qa
20142015
 
Coauthor
Anant Madabhushi
****@case.edu
20142015
 
Coauthor
Max Viergever
****@isi.uu.nl
20142015
 
Coauthor
Anders Dahl
****@dtu.dk
20142015
 
Coauthor
Nasir Rajpoot
****@dcs.warwick.ac.uk
20142015
 
Coauthor
Alessandro Giusti
****@idsia.ch
20102015
 
Coauthor
Luca Gambardella
****@idsia.ch
20102015
 
Coauthor
Dan Ciresan
****@idsia.ch
20102015
 
Coauthor
Marcus Liwicki
****@dfki.uni-kl.de
20072015
 
Coauthor
Jan Funke
****@ini.ch
20142014
 
Coauthor
Jan Funke
****@iri.upc.edu
20142014
 
Coauthor
Hanspeter Pfister
****@seas.harvard.edu
20142014
 
Coauthor
Julien Martel
****@ini.ch
20142014
 
Coauthor
Stephan Gerhard
****@janelia.hhmi.org
20142014
 
Coauthor
Albert Cardona
****@janelia.hhmi.org
20142014
 
Coauthor
Jan Funke
****@ini.uzh.ch
20142014
 
Coauthor
Alexander Bronstein
****@eng.tau.ac.il
20122014
 
Coauthor
Jonathan Masci
****@usi.ch
20112014
 
Coauthor
Michael Bronstein
****@cs.technion.ac.il
20112014
 
Coauthor
Michael Bronstein
****@usi.ch
20112014
 
Coauthor
Yi Sun
****@gmail.com
20092014
 
Coauthor
Yi Sun
****@ie.cuhk.edu.hk
20092014
 
Coauthor
Jan Unkelbach
****@partners.org
20092009
 
Coauthor
Christian Igel
****@diku.dk
20092009
 
Coauthor
Alois Knoll
****@in.tum.de
20062008
 
Coauthor
Marcus Hutter
****@anu.edu.au
20012007
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

learning robots
2002Present
 
fast weights
1991Present
 
curiosity
1990Present
 
generative adversarial networks
1990Present
 
artificial creativity
1990Present
 
unsupervised learning
1990Present
 
hierarchical reinforcement learning
1990Present
 
deep learning
1990Present
 
computer vision
1990Present
 
recurrent neural networks
1989Present
 
meta-learning
1987Present
 
evolutionary computation
1987Present
 
reinforcement learning
1987Present