Publications

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A
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)
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)
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.
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., 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.
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 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.
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., "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)
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, X. Dutoit, D. Stroobandt, and M. Nuttin, "Event detection and localization in mobile robot navigation using reservoir computing", ICANN, Part II: Springer-Verlag, pp. 660-669, 2007.
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)
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Buesing, L., B. Schrauwen, and R. Legenstein, "Connectivity, Dynamics and Memory in Reservoir Computing with Binary and Analog Neurons", Neural Computation, In Press. Abstract
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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)
H
Hermans, M., and B. Schrauwen, "Memory in linear neural networks in continuous time", Neural Networks, 2009.  Download: Paper.pdf (834.16 KB)
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.
Hermans, M., and B. Schrauwen, "Memory in reservoirs for high dimensional input", IJCNN, Barcelona, Spain, 2010.
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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)
S
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)
Schrauwen, B., L. Buesing, and R. Legenstein, "On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing", NIPS: Vancouver, 2008. Abstract
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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)
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Verstraeten, D., B. Schrauwen, and D. Stroobandt, "Isolated word recognition using a Liquid State Machine", Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), Evere, D-side Publications, pp. 435–440, May, 2005.
Verstraeten, D., B. Schrauwen, and J V. Campenhout, "Recognition of Isolated Digits using a Liquid State Machine", Proceedings of SPS-DARTS 2005, pp. 135–138, April, 2005.
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)
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)