Publications

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Submitted
Verstraeten, D., B. Schrauwen, S. Dieleman, P. Brakel, P. Buteneers, and D. Pecevski, "Oger: Modular Learning Architectures For Large-Scale Sequential Processing", Journal of Machine Learning Research, Submitted.  Download: Verstraeten11.pdf (186.23 KB)
In Press
Buesing, L., B. Schrauwen, and R. Legenstein, "Connectivity, Dynamics and Memory in Reservoir Computing with Binary and Analog Neurons", Neural Computation, In Press. Abstract
Antonelo, E A., and B. Schrauwen, "Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization", Neural Networks, In Press. Abstract  Download: eric_nn2011.pdf (2.77 MB)
2012
Lukoševičius, M., H. Jaeger, and B. Schrauwen, "Reservoir Computing Trends", KI - Künstliche Intelligenz, pp. 1-7, 05/2012. Abstract  Download: KI_reservoir_computing.pdf (574.71 KB)
2011
Antonelo, E A., "Reservoir Computing Architectures for Modeling Robot Navigation Systems", Department of Electronic and Information Systems , vol. PhD, Gent, Universiteit Gent, 2011. Abstract  Download: PhD_Eric_final.pdf (21.33 MB)
2010
D'Haene, M., and B. Schrauwen, "Fast and exact simulation methods applied on a broad range of neuron models", NEURAL COMPUTATION, vol. 22, no. 6, pp. 1468-1472, 2010.  Download: NECO-07-09-1070-PDF.pdf (86.6 KB)
Hermans, M., and B. Schrauwen, "Memory in reservoirs for high dimensional input", IJCNN, Barcelona, Spain, 2010.
Hermans, M., and B. Schrauwen, "One Step Backpropagation through time for learning input mapping in reservoir computing applied to speech recognition", ISCAS 2010, Paris, 2010.
Triefenbach, F., A. Jalalvand, B. Schrauwen, and J-P. Martens, "Phoneme Recognition with Large Hierarchical Reservoirs", Neural Information Processing Systems (NIPS2010) , 2010. Abstract  Download: ftriefen_nips2010.pdf (782.18 KB)
2009
Schrauwen, B., and L. Buesing, "A hierarchy of recurrent networks for speech recognition", NIPS, Proceedings, Whistler, BC, Canada, pp. 8, 2009.  Download: bschrauw_nips_2009.pdf (103.7 KB)
Hermans, M., and B. Schrauwen, "Memory in linear neural networks in continuous time", Neural Networks, 2009.  Download: Paper.pdf (834.16 KB)
Waegeman, T., E. Antonelo, F. wyffels, and B. Schrauwen, "Modular reservoir computing networks for imitation learning of multiple robot behaviors", Proc. of the IEEE Int. Symp. on Computational Intelligence in Robotics and Automation (CIRA), 2009.  Download: p27.pdf (2.34 MB)
Verstraeten, D., "Reservoir Computing: computation with dynamical systems", Electronics and Information Systems, Gent, Ghent University, pp. 190, 2009.  Download: dvrstrae_organic.pdf (7.23 MB)
Antonelo, E. A., and B. Schrauwen, "Supervised Learning of Internal Models for Autonomous Goal-oriented Robot Navigation using Reservoir Computing", IEEE International Conference on Robotics and Automation (ICRA), 2009.  Download: icra2010_eric.pdf (1.46 MB)
Antonelo, E. A., and B. Schrauwen, "Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis", Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3818–3823, 2009.  Download: eric_smc2009.pdf (2.76 MB)
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots", International Conference on Artificial Neural Networks (ICANN), 2009.
2008
wyffels, F., B. Schrauwen, D. Verstraeten, and D. Stroobandt, "Band-pass reservoir computing", Proceedings of the International Joint Conference on Neural Networks, Hong Kong, pp. 3203-3208, 6, 2008.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Event detection and localization for small mobile robots using reservoir computing", Neural Networks, vol. 21, pp. 862–871, 2008. Abstract  Download: robotlocalization_antonelo_nn2008_0.pdf (2.68 MB)
Schrauwen, B., L. Buesing, and R. Legenstein, "On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing", NIPS: Vancouver, 2008. Abstract
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing", 10th Brazilian Symposium on Neural Networks (SBRN), 2008.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks", IEEE Int. Conf. on Robotics and Automation (ICRA), 2008.
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Modeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network", IEEE International Conference on Man, Systems and Cybernetics, 2008.
wyffels, F., B. Schrauwen, and D. Stroobandt, "Stable output feedback in reservoir computing using ridge regression", International Conference on Artificial Neural Networks, 2008.
2007
Antonelo, E A., B. Schrauwen, and D. Stroobandt, "Experiments with Reservoir Computing on the road sign problem", VIII Brazilian Congress on Neural Networks (CBRN), 2007.
Antonelo, E A., B. Schrauwen, and J V. Campenhout, "Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing", Neural Processing Letters, vol. 26, no. 3, pp. 233–249, 2007.