| Deep content-based music recommendation A Van den Oord, S Dieleman, B Schrauwen Advances in neural information processing systems, 2643-2651, 2013 | 896 | 2013 |
| An experimental unification of reservoir computing methods D Verstraeten, B Schrauwen, M d’Haene, D Stroobandt Neural networks 20 (3), 391-403, 2007 | 709 | 2007 |
| 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), 1-6, 2011 | 617 | 2011 |
| Optoelectronic reservoir computing Y Paquot, F Duport, A Smerieri, J Dambre, B Schrauwen, M Haelterman, ... Scientific reports 2, 287, 2012 | 431 | 2012 |
| Training and analysing deep recurrent neural networks M Hermans, B Schrauwen Advances in neural information processing systems, 190-198, 2013 | 376 | 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 | 344 | 2007 |
| 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), 1-6, 2014 | 316 | 2014 |
| End-to-end learning for music audio S Dieleman, B Schrauwen 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 284 | 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 | 240 | 2005 |
| Reservoir computing trends M Lukoševičius, H Jaeger, B Schrauwen KI-Künstliche Intelligenz 26 (4), 365-371, 2012 | 223 | 2012 |
| Design and control of compliant tensegrity robots through simulation and hardware validation K Caluwaerts, J Despraz, A Işçen, AP Sabelhaus, J Bruce, B Schrauwen, ... Journal of the royal society interface 11 (98), 20140520, 2014 | 195 | 2014 |
| Sign language recognition using convolutional neural networks L Pigou, S Dieleman, PJ Kindermans, B Schrauwen European Conference on Computer Vision, 572-578, 2014 | 183 | 2014 |
| Improving reservoirs using intrinsic plasticity B Schrauwen, M Wardermann, D Verstraeten, JJ Steil, D Stroobandt Neurocomputing 71 (7-9), 1159-1171, 2008 | 181 | 2008 |
| 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 | 158 | 2008 |
| Information processing capacity of dynamical systems J Dambre, D Verstraeten, B Schrauwen, S Massar Scientific reports 2 (1), 1-7, 2012 | 146 | 2012 |
| 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 | 141 | 2013 |
| Phoneme recognition with large hierarchical reservoirs F Triefenbach, A Jalalvand, B Schrauwen, JP Martens Advances in neural information processing systems, 2307-2315, 2010 | 129 | 2010 |
| Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons L Büsing, B Schrauwen, R Legenstein Neural computation 22 (5), 1272-1311, 2010 | 125 | 2010 |
| Audio-based music classification with a pretrained convolutional network S Dieleman, P Brakel, B Schrauwen 12th International Society for Music Information Retrieval Conference (ISMIR …, 2011 | 124 | 2011 |
| 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 | 123 | 2008 |
