Benjamin Schrauwen
Benjamin Schrauwen
Professor of Machine Learning, Ghent University
Verified email at
Cited by
Cited by
Deep content-based music recommendation
A Van den Oord, S Dieleman, B Schrauwen
Advances in neural information processing systems 26, 2013
Information processing using a single dynamical node as complex system
L Appeltant, MC Soriano, G Van der Sande, J Danckaert, S Massar, ...
Nature communications 2 (1), 468, 2011
An experimental unification of reservoir computing methods
D Verstraeten, B Schrauwen, M d’Haene, D Stroobandt
Neural networks 20 (3), 391-403, 2007
Optoelectronic reservoir computing
Y Paquot, F Duport, A Smerieri, J Dambre, B Schrauwen, M Haelterman, ...
Scientific reports 2 (1), 287, 2012
Experimental demonstration of reservoir computing on a silicon photonics chip
K Vandoorne, P Mechet, T Van Vaerenbergh, M Fiers, G Morthier, ...
Nature communications 5 (1), 3541, 2014
Training and analysing deep recurrent neural networks
M Hermans, B Schrauwen
Advances in neural information processing systems 26, 2013
An overview of reservoir computing: theory, applications and implementations
B Schrauwen, D Verstraeten, J Van Campenhout
Proceedings of the 15th european symposium on artificial neural networks. p …, 2007
Sign language recognition using convolutional neural networks
L Pigou, S Dieleman, PJ Kindermans, B Schrauwen
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
End-to-end learning for music audio
S Dieleman, B Schrauwen
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Isolated word recognition with the liquid state machine: a case study
D Verstraeten, B Schrauwen, D Stroobandt, J Van Campenhout
Information Processing Letters 95 (6), 521-528, 2005
Reservoir computing trends
M Luko¹evièius, H Jaeger, B Schrauwen
KI-Künstliche Intelligenz 26, 365-371, 2012
Information processing capacity of dynamical systems
J Dambre, D Verstraeten, B Schrauwen, S Massar
Scientific reports 2 (1), 514, 2012
Design and control of compliant tensegrity robots through simulation and hardware validation
K Caluwaerts, J Despraz, A Iºçen, AP Sabelhaus, J Bruce, B Schrauwen, ...
Journal of the royal society interface 11 (98), 20140520, 2014
Toward optical signal processing using photonic reservoir computing
K Vandoorne, W Dierckx, B Schrauwen, D Verstraeten, R Baets, ...
Optics express 16 (15), 11182-11192, 2008
Improving reservoirs using intrinsic plasticity
B Schrauwen, M Wardermann, D Verstraeten, JJ Steil, D Stroobandt
Neurocomputing 71 (7-9), 1159-1171, 2008
Parallel reservoir computing using optical amplifiers
K Vandoorne, J Dambre, D Verstraeten, B Schrauwen, P Bienstman
IEEE transactions on neural networks 22 (9), 1469-1481, 2011
Phoneme recognition with large hierarchical reservoirs
F Triefenbach, A Jalalvand, B Schrauwen, JP Martens
Advances in neural information processing systems 23, 2010
Using topic models for twitter hashtag recommendation
F Godin, V Slavkovikj, W De Neve, B Schrauwen, R Van de Walle
Proceedings of the 22nd international conference on world wide web, 593-596, 2013
BSA, a fast and accurate spike train encoding scheme
B Schrauwen, J Van Campenhout
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
Compact hardware liquid state machines on FPGA for real-time speech recognition
B Schrauwen, M D’Haene, D Verstraeten, J Van Campenhout
Neural networks 21 (2-3), 511-523, 2008
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