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Benjamin Schrauwen
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2010 – 2019
- 2018
- [j36]Alexander Spröwitz
, Alexandre Tuleu, Mostafa Ajallooeian, Massimo Vespignani, Rico Möckel
Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs. Frontiers Robotics AI 5: 67 (2018) - [i5]Alexander Spröwitz, Alexandre Tuleu, Mostafa Ajaoolleian, Massimo Vespignani, Rico Moeckel, Peter Eckert, Michiel D'Haene, Jonas Degrave, Arne Nordmann, Benjamin Schrauwen, Jochen J. Steil, Auke Jan Ijspeert:
Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs. CoRR abs/1803.06259 (2018) - 2015
- [j35]Juan Pablo Carbajal
Memristor Models for Machine Learning. Neural Comput. 27(3): 725-747 (2015) - [j34]Eric Aislan Antonelo, Benjamin Schrauwen:
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Trans. Neural Networks Learn. Syst. 26(4): 763-780 (2015) - 2014
- [j33]Francis Wyffels, Jiwen Li, Tim Waegeman, Benjamin Schrauwen, Herbert Jaeger:
Frequency modulation of large oscillatory neural networks. Biol. Cybern. 108(2): 145-157 (2014) - [j32]John B. Butcher
Defect Detection in Reinforced Concrete Using Random Neural Architectures. Comput. Aided Civ. Infrastructure Eng. 29(3): 191-207 (2014) - [j31]Aäron van den Oord, Benjamin Schrauwen:
The student-t mixture as a natural image patch prior with application to image compression. J. Mach. Learn. Res. 15(1): 2061-2086 (2014) - [j30]Michiel D'Haene, Michiel Hermans, Benjamin Schrauwen:
Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks. Neural Comput. 26(6): 1055-1079 (2014) - [j29]Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. IEEE Trans. Neural Networks Learn. Syst. 25(2): 344-355 (2014) - [c60]Lionel Pigou, Sander Dieleman, Pieter-Jan Kindermans, Benjamin Schrauwen:
Sign Language Recognition Using Convolutional Neural Networks. ECCV Workshops (1) 2014: 572-578 - [c59]Sander Dieleman, Benjamin Schrauwen:
End-to-end learning for music audio. ICASSP 2014: 6964-6968 - [c58]Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen:
Transfer Learning by Supervised Pre-training for Audio-based Music Classification. ISMIR 2014: 29-34 - [c57]Aäron van den Oord, Benjamin Schrauwen:
Factoring Variations in Natural Images with Deep Gaussian Mixture Models. NIPS 2014: 3518-3526 - [i4]Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen:
Memristor models for machine learning. CoRR abs/1406.2210 (2014) - 2013
- [j28]Ken Caluwaerts, Michiel D'Haene, David Verstraeten, Benjamin Schrauwen:
Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures. Artif. Life 19(1): 35-66 (2013) - [j27]Femke Ongenae
Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks. Eng. Appl. Artif. Intell. 26(3): 984-996 (2013) - [j26]Tim Waegeman, Michiel Hermans, Benjamin Schrauwen:
MACOP modular architecture with control primitives. Frontiers Comput. Neurosci. 7: 99 (2013) - [j25]Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen:
Training energy-based models for time-series imputation. J. Mach. Learn. Res. 14(1): 2771-2797 (2013) - [j24]John B. Butcher
Reservoir computing and extreme learning machines for non-linear time-series data analysis. Neural Networks 38: 76-89 (2013) - [j23]Louis-Charles Caron, Michiel D'Haene, Frédéric Mailhot, Benjamin Schrauwen, Jean Rouat:
Event management for large scale event-driven digital hardware spiking neural networks. Neural Networks 45: 83-93 (2013) - [j22]Pieter Buteneers, Ken Caluwaerts, Joni Dambre
Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression. Neural Process. Lett. 38(3): 403-416 (2013) - [j21]Pieter-Jan Kindermans, Hannes Verschore, Benjamin Schrauwen:
A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface. IEEE Trans. Biomed. Eng. 60(10): 2696-2705 (2013) - [c56]Robin Bailleul, Jan De Cock, Peter Lambert, Rik Van de Walle, Benjamin Schrauwen:
Content feature based bit rate modelling for scalable video coding using machine learning algorithms. ICME Workshops 2013: 1-4 - [c55]Jonas Degrave, Robin Van Cauwenbergh, Francis Wyffels, Tim Waegeman, Benjamin Schrauwen:
Terrain Classification for a Quadruped Robot. ICMLA (1) 2013: 185-190 - [c54]Ken Caluwaerts, Francis Wyffels, Sander Dieleman, Benjamin Schrauwen:
The spectral radius remains a valid indicator of the Echo state property for large reservoirs. IJCNN 2013: 1-6 - [c53]Philemon Brakel, Dirk Stroobandt, Benjamin Schrauwen:
Bidirectional truncated recurrent neural networks for efficient speech denoising. INTERSPEECH 2013: 2973-2977 - [c52]François Duport, Anteo Smerieri, Yvan Paquot, Bendix Schneider, Joni Dambre
Recent advances in optical Reservoir Computing. ISCAS 2013: 333-336 - [c51]Sander Dieleman, Benjamin Schrauwen:
Multiscale Approaches To Music Audio Feature Learning. ISMIR 2013: 3-8 - [c50]Michiel Hermans, Benjamin Schrauwen:
Training and Analysing Deep Recurrent Neural Networks. NIPS 2013: 190-198 - [c49]Aäron van den Oord, Sander Dieleman, Benjamin Schrauwen:
Deep content-based music recommendation. NIPS 2013: 2643-2651 - [c48]Jonas Degrave, Michael Burm, Tim Waegeman, Francis Wyffels, Benjamin Schrauwen:
Comparing trotting and turning strategies on the quadrupedal oncilla robot. ROBIO 2013: 228-233 - [c47]Fréderic Godin, Viktor Slavkovikj, Wesley De Neve, Benjamin Schrauwen, Rik Van de Walle:
Using topic models for Twitter hashtag recommendation. WWW (Companion Volume) 2013: 593-596 - [i3]Louis-Charles Caron, Michiel D'Haene, Frédéric Mailhot, Benjamin Schrauwen, Jean Rouat:
Event management for large scale event-driven digital hardware spiking neural networks. CoRR abs/1304.0640 (2013) - 2012
- [j20]David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski:
Oger: modular learning architectures for large-scale sequential processing. J. Mach. Learn. Res. 13: 2995-2998 (2012) - [j19]Mantas Lukosevicius
Reservoir Computing Trends. Künstliche Intell. 26(4): 365-371 (2012) - [j18]Michiel Hermans, Benjamin Schrauwen:
Recurrent Kernel Machines: Computing with Infinite Echo State Networks. Neural Comput. 24(1): 104-133 (2012) - [j17]Eric A. Antonelo, Benjamin Schrauwen:
Learning slow features with reservoir computing for biologically-inspired robot localization. Neural Networks 25: 178-190 (2012) - [j16]Tim Waegeman, Francis Wyffels, Benjamin Schrauwen:
Feedback Control by Online Learning an Inverse Model. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1637-1648 (2012) - [c46]Tim Waegeman, Francis Wyffels, Benjamin Schrauwen:
A discrete/rhythmic pattern generating RNN. ESANN 2012 - [c45]Philemon Brakel, Sander Dieleman, Benjamin Schrauwen:
Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization. ICANN (2) 2012: 92-99 - [c44]Michiel Hermans, Benjamin Schrauwen:
Infinite Sparse Threshold Unit Networks. ICANN (1) 2012: 612-619 - [c43]Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens, Benjamin Schrauwen:
Effects of Architecture Choices on Sparse Coding in Speech Recognition. ICANN (1) 2012: 629-636 - [c42]Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen:
Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. ICANN (1) 2012: 661-668 - [c41]Philemon Brakel, Benjamin Schrauwen:
Energy-Based Temporal Neural Networks for Imputing Missing Values. ICONIP (2) 2012: 575-582 - [c40]Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen:
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling. NIPS 2012: 719-727 - [c39]Anteo Smerieri, François Duport, Yvan Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar:
Analog readout for optical reservoir computers. NIPS 2012: 953-961 - [c38]Tim Waegeman, Francis Wyffels, Benjamin Schrauwen:
Towards a Neural Hierarchy of Time Scales for Motor Control. SAB 2012: 146-155 - [i2]Anteo Smerieri, François Duport, Yvan Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar:
Analog readout for optical reservoir computers. CoRR abs/1209.3129 (2012) - 2011
- [j15]Pieter Buteneers, David Verstraeten, Pieter van Mierlo
Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing. Artif. Intell. Medicine 53(3): 215-223 (2011) - [j14]Kristof Vandoorne, Joni Dambre
Parallel Reservoir Computing Using Optical Amplifiers. IEEE Trans. Neural Networks 22(9): 1469-1481 (2011) - [c37]Tim Waegeman, Benjamin Schrauwen:
Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller. ICONIP (3) 2011: 441-448 - [c36]Sander Dieleman, Philemon Brakel, Benjamin Schrauwen:
Audio-based Music Classification with a Pretrained Convolutional Network. ISMIR 2011: 669-674 - [i1]Yvan Paquot, François Duport, Anteo Smerieri, Joni Dambre, Benjamin Schrauwen, Marc Haelterman, Serge Massar:
Optoelectronic Reservoir Computing. CoRR abs/1111.7219 (2011) - 2010
- [j13]Francis Wyffels, Benjamin Schrauwen:
A comparative study of Reservoir Computing strategies for monthly time series prediction. Neurocomputing 73(10-12): 1958-1964 (2010) - [j12]Lars Büsing, Benjamin Schrauwen, Robert Legenstein
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons. Neural Comput. 22(5): 1272-1311 (2010) - [j11]Michiel D'Haene, Benjamin Schrauwen:
Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models. Neural Comput. 22(6): 1468-1472 (2010) - [j10]Michiel Hermans, Benjamin Schrauwen:
Memory in linear recurrent neural networks in continuous time. Neural Networks 23(3): 341-355 (2010) - [c35]John B. Butcher, David Verstraeten, Benjamin Schrauwen, Charles Day, Peter Haycock:
Extending reservoir computing with random static projections: a hybrid between extreme learning and RC. ESANN 2010 - [c34]Yoan Miche, Benjamin Schrauwen, Amaury Lendasse:
Machine Learning Techniques based on Random Projections. ESANN 2010 - [c33]Eric A. Antonelo, Benjamin Schrauwen:
Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing. ICRA 2010: 2959-2964 - [c32]Michiel Hermans, Benjamin Schrauwen:
Memory in reservoirs for high dimensional input. IJCNN 2010: 1-7 - [c31]David Verstraeten, Joni Dambre
Memory versus non-linearity in reservoirs. IJCNN 2010: 1-8 - [c30]Michiel Hermans, Benjamin Schrauwen:
One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition. ISCAS 2010: 521-524 - [c29]Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen, Jean-Pierre Martens:
Phoneme Recognition with Large Hierarchical Reservoirs. NIPS 2010: 2307-2315
2000 – 2009
- 2009
- [j9]Xavier Dutoit, Benjamin Schrauwen, Jan Van Campenhout
Pruning and regularization in reservoir computing. Neurocomputing 72(7-9): 1534-1546 (2009) - [j8]Michiel D'Haene, Benjamin Schrauwen, Jan Van Campenhout
Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants. Neural Comput. 21(4): 1068-1099 (2009) - [c28]Tim Waegeman, Eric A. Antonelo, Francis Wyffels, Benjamin Schrauwen:
Modular reservoir computing networks for imitation learning of multiple robot behaviors. CIRA 2009: 27-32 - [c27]Xavier Dutoit, Benjamin Schrauwen, Hendrik Van Brussel:
Non-markovian process modelling with Echo State Networks. ESANN 2009 - [c26]Barbara Hammer, Benjamin Schrauwen, Jochen J. Steil:
Recent advances in efficient learning of recurrent networks. ESANN 2009 - [c25]Eric A. Antonelo, Benjamin Schrauwen:
Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. ICANN (1) 2009: 747-756 - [c24]David Verstraeten, Benjamin Schrauwen:
On the Quantification of Dynamics in Reservoir Computing. ICANN (1) 2009: 985-994 - [c23]Eric A. Antonelo, Benjamin Schrauwen:
Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. SMC 2009: 3818-3823 - 2008
- [j7]Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil, Dirk Stroobandt:
Improving reservoirs using intrinsic plasticity. Neurocomputing 71(7-9): 1159-1171 (2008) - [j6]Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout
Compact hardware liquid state machines on FPGA for real-time speech recognition. Neural Networks 21(2-3): 511-523 (2008) - [j5]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Event detection and localization for small mobile robots using reservoir computing. Neural Networks 21(6): 862-871 (2008) - [c22]Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel, Marnix Nuttin:
Pruning and Regularisation in Reservoir Computing: a First Insight. ESANN 2008: 1-6 - [c21]Francis Wyffels, Benjamin Schrauwen, Dirk Stroobandt:
Stable Output Feedback in Reservoir Computing Using Ridge Regression. ICANN (1) 2008: 808-817 - [c20]Pieter Buteneers, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt:
Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing. ICONIP (1) 2008: 56-63 - [c19]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Mobile robot control in the road sign problem using Reservoir Computing networks. ICRA 2008: 911-916 - [c18]Francis Wyffels, Benjamin Schrauwen, David Verstraeten, Dirk Stroobandt:
Band-pass Reservoir Computing. IJCNN 2008: 3204-3209 - [c17]Benjamin Schrauwen, Lars Buesing, Robert Legenstein:
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. NIPS 2008: 1425-1432 - [c16]Kristof Vandoorne, Wouter Dierckx, Benjamin Schrauwen, David Verstraeten, Peter Bienstman, Roel Baets, Jan M. Van Campenhout
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers. OSC 2008: 46-55 - [c15]Eric A. Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing. SBRN 2008: 93-98 - [c14]Eric Aislan Antonelo, Benjamin Schrauwen, Dirk Stroobandt:
Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network. SMC 2008: 1843-1848 - 2007
- [j4]Benjamin Schrauwen, Jan Van Campenhout
Linking non-binned spike train kernels to several existing spike train metrics. Neurocomputing 70(7-9): 1247-1253 (2007) - [j3]David Verstraeten, Benjamin Schrauwen, Michiel D'Haene, Dirk Stroobandt:
An experimental unification of reservoir computing methods. Neural Networks 20(3): 391-403 (2007) - [j2]Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van Campenhout
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Process. Lett. 26(3): 233-249 (2007) - [c13]Bertrand Fontaine, Herbert Peremans, Benjamin Schrauwen:
Bat echolocation modelling using spike kernels with Support Vector Regression. ESANN 2007: 367-372 - [c12]Benjamin Schrauwen, David Verstraeten, Jan M. Van Campenhout:
An overview of reservoir computing: theory, applications and implementations. ESANN 2007: 471-482 - [c11]David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
Adapting reservoir states to get Gaussian distributions. ESANN 2007: 495-500 - [c10]Benjamin Schrauwen, Jeroen Defour, David Verstraeten, Jan M. Van Campenhout
The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. ICANN (1) 2007: 471-479 - [c9]Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoit, Dirk Stroobandt, Marnix Nuttin:
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing. ICANN (2) 2007: 660-669 - [c8]Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout
Compact hardware for real-time speech recognition using a Liquid State Machine. IJCNN 2007: 1097-1102 - 2006
- [c7]Benjamin Schrauwen, Jan M. Van Campenhout:
Linking non-binned spike train kernels to several existing spike train metrics. ESANN 2006: 41-46 - [c6]Benjamin Schrauwen, Jan M. Van Campenhout:
Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic. ESANN 2006: 623-628 - [c5]Michiel D'Haene, Benjamin Schrauwen, Dirk Stroobandt:
Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks. ICANN (1) 2006: 760-769 - [c4]David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
Reservoir-based techniques for speech recognition. IJCNN 2006: 1050-1053 - [c3]Benjamin Schrauwen, Jan M. Van Campenhout:
Backpropagation for Population-Temporal Coded Spiking Neural Networks. IJCNN 2006: 1797-1804 - 2005
- [j1]David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt, Jan Van Campenhout
Isolated word recognition with the Liquid State Machine: a case study. Inf. Process. Lett. 95(6): 521-528 (2005) - [c2]Hendrik Eeckhaut, Harald Devos, Benjamin Schrauwen, Mark Christiaens, Dirk Stroobandt:
A Hardware-Friendly Wavelet Entropy Codec for Scalable Video. DATE 2005: 14-19 - [c1]David Verstraeten, Benjamin Schrauwen, Dirk Stroobandt:
Isolated word recognition using a Liquid State Machine. ESANN 2005: 435-440
Coauthor Index
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