Benjamin Schrauwen - researchr alias

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Viewing Publication 1 - 96 from 96

2018

Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph LegsAlexander Spröwitz, Alexandre Tuleu, Mostafa Ajallooeian, Massimo Vespignani, Rico Möckel, Peter Eckert, Michiel D'Haene, Jonas Degrave, Arne Nordmann, Benjamin Schrauwen, Jochen Steil, Auke Jan Ijspeert. firai, 2018:67, 2018. [doi]

2015

On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing ArchitecturesEric Aislan Antonelo, Benjamin Schrauwen. tnn, 26(4):763-780, 2015. [doi]

Memristor Models for Machine LearningJuan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen. neco, 27(3):725-747, 2015. [doi]

2014

Defect Detection in Reinforced Concrete Using Random Neural ArchitecturesJohn Butcher, C. R. Day, J. C. Austin, Peter Haycock, David Verstraeten, Benjamin Schrauwen. cacie, 29(3):191-207, 2014. [doi]

Toward Unified Hybrid Simulation Techniques for Spiking Neural NetworksMichiel D'Haene, Michiel Hermans, Benjamin Schrauwen. neco, 26(6):1055-1079, 2014. [doi]

End-to-end learning for music audioSander Dieleman, Benjamin Schrauwen. icassp 2014: 6964-6968 [doi]

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic PatternsMartin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman. tnn, 25(2):344-355, 2014. [doi]

The student-t mixture as a natural image patch prior with application to image compressionAäron Van Den Oord, Benjamin Schrauwen. jmlr, 15(1):2061-2086, 2014. [doi]

Factoring Variations in Natural Images with Deep Gaussian Mixture ModelsAäron Van Den Oord, Benjamin Schrauwen. nips 2014: 3518-3526 [doi]

Transfer Learning by Supervised Pre-training for Audio-based Music ClassificationAäron Van Den Oord, Sander Dieleman, Benjamin Schrauwen. ismir 2014: 29-34 [doi]

Sign Language Recognition Using Convolutional Neural NetworksLionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen. eccv 2015: 572-578 [doi]

Frequency modulation of large oscillatory neural networksFrancis Wyffels, Jiwen Li, Tim Waegeman, Benjamin Schrauwen, Herbert Jaeger. bc, 108(2):145-157, 2014. [doi]

2013

Content feature based bit rate modelling for scalable video coding using machine learning algorithmsR. Bailleul, Jan De Cock, P. Lambert, Rik Van de Walle, Benjamin Schrauwen. icmcs 2013: 1-4 [doi]

Bidirectional truncated recurrent neural networks for efficient speech denoisingPhilemon Brakel, Dirk Stroobandt, Benjamin Schrauwen. interspeech 2013: 2973-2977 [doi]

Training energy-based models for time-series imputationPhilemon Brakel, Dirk Stroobandt, Benjamin Schrauwen. jmlr, 14(1):2771-2797, 2013. [doi]

Reservoir computing and extreme learning machines for non-linear time-series data analysisJohn Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, Peter Haycock. NN, 38:76-89, 2013. [doi]

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge RegressionPieter Buteneers, Ken Caluwaerts, Joni Dambre, David Verstraeten, Benjamin Schrauwen. npl, 38(3):403-416, 2013. [doi]

Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity StructuresKen Caluwaerts, Michiel D'Haene, David Verstraeten, Benjamin Schrauwen. alife, 19(1):35-66, 2013. [doi]

The spectral radius remains a valid indicator of the Echo state property for large reservoirsKen Caluwaerts, Francis Wyffels, Sander Dieleman, Benjamin Schrauwen. ijcnn 2013: 1-6 [doi]

Event management for large scale event-driven digital hardware spiking neural networksLouis-Charles Caron, Michiel D'Haene, Frederic Mailhot, Benjamin Schrauwen, Jean Rouat. NN, 45:83-93, 2013. [doi]

Terrain Classification for a Quadruped RobotJonas Degrave, Robin Van Cauwenbergh, Francis Wyffels, Tim Waegeman, Benjamin Schrauwen. icmla 2013: 185-190 [doi]

Comparing trotting and turning strategies on the quadrupedal oncilla robotJonas Degrave, Michael Burm, Tim Waegeman, Francis Wyffels, Benjamin Schrauwen. robio 2013: 228-233 [doi]

Multiscale Approaches To Music Audio Feature LearningSander Dieleman, Benjamin Schrauwen. ismir 2013: 3-8 [doi]

Recent advances in optical Reservoir ComputingFrançois Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar. iscas 2013: 333-336 [doi]

Using topic models for Twitter hashtag recommendationFréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle. WWW 2013: 593-596 [doi]

Training and Analysing Deep Recurrent Neural NetworksMichiel Hermans, Benjamin Schrauwen. nips 2013: 190-198 [doi]

A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer InterfacePieter-Jan Kindermans, Hannes Verschore, Benjamin Schrauwen. tbe, 60(10):2696-2705, 2013. [doi]

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworksFemke Ongenae, Stijn Van Looy, David Verstraeten, Thierry Verplancke, Dominique Benoit, Filip De Turck, Tom Dhaene, Benjamin Schrauwen, Johan Decruyenaere. eaai, 26(3):984-996, 2013. [doi]

Deep content-based music recommendationAäron Van Den Oord, Sander Dieleman, Benjamin Schrauwen. nips 2013: 2643-2651 [doi]

MACOP modular architecture with control primitivesTim Waegeman, Michiel Hermans, Benjamin Schrauwen. ficn, 2013:99, 2013. [doi]

2012

Learning slow features with reservoir computing for biologically-inspired robot localizationEric A. Antonelo, Benjamin Schrauwen. NN, 25:178-190, 2012. [doi]

Energy-Based Temporal Neural Networks for Imputing Missing ValuesPhilemon Brakel, Benjamin Schrauwen. iconip 2012: 575-582 [doi]

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing ParallelizationPhilemon Brakel, Sander Dieleman, Benjamin Schrauwen. icann 2012: 92-99 [doi]

Recurrent Kernel Machines: Computing with Infinite Echo State NetworksMichiel Hermans, Benjamin Schrauwen. neco, 24(1):104-133, 2012. [doi]

Infinite Sparse Threshold Unit NetworksMichiel Hermans, Benjamin Schrauwen. icann 2012: 612-619 [doi]

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised SpellingPieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen. nips 2012: 719-727 [doi]

Reservoir Computing TrendsMantas Lukosevicius, Herbert Jaeger, Benjamin Schrauwen. ki, 26(4):365-371, 2012. [doi]

Effects of Architecture Choices on Sparse Coding in Speech RecognitionFionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens, Benjamin Schrauwen. icann 2012: 629-636 [doi]

Analog readout for optical reservoir computersAnteo Smerieri, François Duport, Yvan Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar. nips 2012: 953-961 [doi]

Dynamic Stopping Improves the Speed and Accuracy of a P300 SpellerHannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen. icann 2012: 661-668 [doi]

Oger: modular learning architectures for large-scale sequential processingDavid Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski. jmlr, 13:2995-2998, 2012. [doi]

Feedback Control by Online Learning an Inverse ModelTim Waegeman, Francis Wyffels, Benjamin Schrauwen. tnn, 23(10):1637-1648, 2012. [doi]

Towards a Neural Hierarchy of Time Scales for Motor ControlTim Waegeman, Francis Wyffels, Benjamin Schrauwen. sab 2012: 146-155 [doi]

A discrete/rhythmic pattern generating RNNTim Waegeman, Francis Wyffels, Benjamin Schrauwen. esann 2012: [doi]

2011

2010

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir ComputingEric A. Antonelo, Benjamin Schrauwen. icra 2010: 2959-2964 [doi]

Extending reservoir computing with random static projections: a hybrid between extreme learning and RCJohn Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, Peter Haycock. esann 2010: [doi]

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog NeuronsLars Büsing, Benjamin Schrauwen, Robert A. Legenstein. neco, 22(5):1272-1311, 2010. [doi]

Fast and Exact Simulation Methods Applied on a Broad Range of Neuron ModelsMichiel D Haene, Benjamin Schrauwen. neco, 22(6):1468-1472, 2010. [doi]

Memory in linear recurrent neural networks in continuous timeMichiel Hermans, Benjamin Schrauwen. NN, 23(3):341-355, 2010. [doi]

One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognitionMichiel Hermans, Benjamin Schrauwen. iscas 2010: 521-524 [doi]

Memory in reservoirs for high dimensional inputMichiel Hermans, Benjamin Schrauwen. ijcnn 2010: 1-7 [doi]

Machine Learning Techniques based on Random ProjectionsYoan Miche, Benjamin Schrauwen, Amaury Lendasse. esann 2010: [doi]

Phoneme Recognition with Large Hierarchical ReservoirsFabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens. nips 2010: 2307-2315 [doi]

Memory versus non-linearity in reservoirsDavid Verstraeten, Joni Dambre, Xavier Dutoit, Benjamin Schrauwen. ijcnn 2010: 1-8 [doi]

A comparative study of Reservoir Computing strategies for monthly time series predictionFrancis Wyffels, Benjamin Schrauwen. ijon, 73(10-12):1958-1964, 2010. [doi]

2009

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile RobotsEric A. Antonelo, Benjamin Schrauwen. icann 2009: 747-756 [doi]

Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature AnalysisEric A. Antonelo, Benjamin Schrauwen. SMC 2009: 3818-3823 [doi]

Non-markovian process modelling with Echo State NetworksXavier Dutoit, Benjamin Schrauwen, Hendrik Van Brussel. esann 2009: [doi]

Pruning and regularization in reservoir computingXavier Dutoit, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel, Marnix Nuttin. ijon, 72(7-9):1534-1546, 2009. [doi]

Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time ConstantsMichiel D Haene, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt. neco, 21(4):1068-1099, 2009. [doi]

Recent advances in efficient learning of recurrent networksBarbara Hammer, Benjamin Schrauwen, Jochen J. Steil. esann 2009: [doi]

On the Quantification of Dynamics in Reservoir ComputingDavid Verstraeten, Benjamin Schrauwen. icann 2009: 985-994 [doi]

Modular reservoir computing networks for imitation learning of multiple robot behaviorsTim Waegeman, Eric A. Antonelo, Francis Wyffels, Benjamin Schrauwen. cira 2009: 27-32 [doi]

2008

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing networkEric Aislan Antonelo, Benjamin Schrauwen, Dirk Stroobandt. SMC 2008: 1843-1848 [doi]

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir ComputingEric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt. sbrn 2008: 93-98 [doi]

Mobile robot control in the road sign problem using Reservoir Computing networksEric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt. icra 2008: 911-916 [doi]

Event detection and localization for small mobile robots using reservoir computingEric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt. NN, 21(6):862-871, 2008. [doi]

Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir ComputingPieter Buteneers, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt. iconip 2009: 56-63 [doi]

Pruning and Regularisation in Reservoir Computing: a First InsightXavier Dutoit, Benjamin Schrauwen, Jan M. Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel, Marnix Nuttin. esann 2008: 1-6 [doi]

Compact hardware liquid state machines on FPGA for real-time speech recognitionBenjamin Schrauwen, Michiel D Haene, David Verstraeten, Jan M. Van Campenhout. NN, 21(2-3):511-523, 2008. [doi]

On Computational Power and the Order-Chaos Phase Transition in Reservoir ComputingBenjamin Schrauwen, Lars Buesing, Robert A. Legenstein. nips 2009: 1425-1432 [doi]

Improving reservoirs using intrinsic plasticityBenjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil, Dirk Stroobandt. ijon, 71(7-9):1159-1171, 2008. [doi]

Photonic Reservoir Computing with Coupled Semiconductor Optical AmplifiersKristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout. osc 2008: 46-55 [doi]

Band-pass Reservoir ComputingFrancis Wyffels, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt. ijcnn 2008: 3204-3209 [doi]

Stable Output Feedback in Reservoir Computing Using Ridge RegressionFrancis Wyffels, Benjamin Schrauwen, Dirk Stroobandt. icann 2008: 808-817 [doi]

2007

Generative Modeling of Autonomous Robots and their Environments using Reservoir ComputingEric A. Antonelo, Benjamin Schrauwen, Jan M. Van Campenhout. npl, 26(3):233-249, 2007. [doi]

Event Detection and Localization in Mobile Robot Navigation Using Reservoir ComputingEric A. Antonelo, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt, Marnix Nuttin. icann 2007: 660-669 [doi]

Bat echolocation modelling using spike kernels with Support Vector RegressionBertrand Fontaine, Herbert Peremans, Benjamin Schrauwen. esann 2007: 367-372 [doi]

The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits RecognitionBenjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout. icann 2007: 471-479 [doi]

Linking non-binned spike train kernels to several existing spike train metricsBenjamin Schrauwen, Jan Van Campenhout. ijon, 70(7-9):1247-1253, 2007. [doi]

An overview of reservoir computing: theory, applications and implementationsBenjamin Schrauwen, David Verstraeten, Jan M. Van Campenhout. esann 2007: 471-482 [doi]

Compact hardware for real-time speech recognition using a Liquid State MachineBenjamin Schrauwen, Michiel D Haene, David Verstraeten, Jan M. Van Campenhout. ijcnn 2007: 1097-1102 [doi]

Adapting reservoir states to get Gaussian distributionsDavid Verstraeten, Benjamin Schrauwen, Dirk Stroobandt. esann 2007: 495-500 [doi]

An experimental unification of reservoir computing methodsDavid Verstraeten, Benjamin Schrauwen, Michiel D Haene, Dirk Stroobandt. NN, 20(3):391-403, 2007. [doi]

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