Benjamin Schrauwen

According to our database1, Benjamin Schrauwen authored at least 97 papers between 2005 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2018
Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs.
Frontiers Robotics AI, 2018

Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs.
CoRR, 2018

2015
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures.
IEEE Trans. Neural Networks Learn. Syst., 2015

Memristor Models for Machine Learning.
Neural Comput., 2015

2014
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2014

Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks.
Neural Comput., 2014

The student-t mixture as a natural image patch prior with application to image compression.
J. Mach. Learn. Res., 2014

Defect Detection in Reinforced Concrete Using Random Neural Architectures.
Comput. Aided Civ. Infrastructure Eng., 2014

Frequency modulation of large oscillatory neural networks.
Biol. Cybern., 2014

Factoring Variations in Natural Images with Deep Gaussian Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Transfer Learning by Supervised Pre-training for Audio-based Music Classification.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

End-to-end learning for music audio.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sign Language Recognition Using Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
A Unified Probabilistic Approach to Improve Spelling in an Event-Related Potential-Based Brain-Computer Interface.
IEEE Trans. Biomed. Eng., 2013

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression.
Neural Process. Lett., 2013

Event management for large scale event-driven digital hardware spiking neural networks.
Neural Networks, 2013

Reservoir computing and extreme learning machines for non-linear time-series data analysis.
Neural Networks, 2013

Training energy-based models for time-series imputation.
J. Mach. Learn. Res., 2013

MACOP modular architecture with control primitives.
Frontiers Comput. Neurosci., 2013

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks.
Eng. Appl. Artif. Intell., 2013

Locomotion Without a Brain: Physical Reservoir Computing in Tensegrity Structures.
Artif. Life, 2013

Using topic models for Twitter hashtag recommendation.
Proceedings of the 22nd International World Wide Web Conference, 2013

Comparing trotting and turning strategies on the quadrupedal oncilla robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Deep content-based music recommendation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Training and Analysing Deep Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multiscale Approaches To Music Audio Feature Learning.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Recent advances in optical Reservoir Computing.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Bidirectional truncated recurrent neural networks for efficient speech denoising.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

The spectral radius remains a valid indicator of the Echo state property for large reservoirs.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Terrain Classification for a Quadruped Robot.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Content feature based bit rate modelling for scalable video coding using machine learning algorithms.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2012
Feedback Control by Online Learning an Inverse Model.
IEEE Trans. Neural Networks Learn. Syst., 2012

Learning slow features with reservoir computing for biologically-inspired robot localization.
Neural Networks, 2012

Recurrent Kernel Machines: Computing with Infinite Echo State Networks.
Neural Comput., 2012

Reservoir Computing Trends.
Künstliche Intell., 2012

Oger: modular learning architectures for large-scale sequential processing.
J. Mach. Learn. Res., 2012

Towards a Neural Hierarchy of Time Scales for Motor Control.
Proceedings of the From Animals to Animats 12, 2012

Analog readout for optical reservoir computers.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Energy-Based Temporal Neural Networks for Imputing Missing Values.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Effects of Architecture Choices on Sparse Coding in Speech Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Infinite Sparse Threshold Unit Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Training Restricted Boltzmann Machines with Multi-tempering: Harnessing Parallelization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A discrete/rhythmic pattern generating RNN.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Parallel Reservoir Computing Using Optical Amplifiers.
IEEE Trans. Neural Networks, 2011

Optoelectronic Reservoir Computing
CoRR, 2011

Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing.
Artif. Intell. Medicine, 2011

Audio-based Music Classification with a Pretrained Convolutional Network.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Memory in linear recurrent neural networks in continuous time.
Neural Networks, 2010

Fast and Exact Simulation Methods Applied on a Broad Range of Neuron Models.
Neural Comput., 2010

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons.
Neural Comput., 2010

A comparative study of Reservoir Computing strategies for monthly time series prediction.
Neurocomputing, 2010

Phoneme Recognition with Large Hierarchical Reservoirs.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Memory versus non-linearity in reservoirs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Memory in reservoirs for high dimensional input.
Proceedings of the International Joint Conference on Neural Networks, 2010

Supervised learning of internal models for autonomous goal-oriented robot navigation using Reservoir Computing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Machine Learning Techniques based on Random Projections.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Extending reservoir computing with random static projections: a hybrid between extreme learning and RC.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants.
Neural Comput., 2009

Pruning and regularization in reservoir computing.
Neurocomputing, 2009

Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis.
Proceedings of the IEEE International Conference on Systems, 2009

On the Quantification of Dynamics in Reservoir Computing.
Proceedings of the Artificial Neural Networks, 2009

Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots.
Proceedings of the Artificial Neural Networks, 2009

Recent advances in efficient learning of recurrent networks.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Non-markovian process modelling with Echo State Networks.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Modular reservoir computing networks for imitation learning of multiple robot behaviors.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

2008
Compact hardware liquid state machines on FPGA for real-time speech recognition.
Neural Networks, 2008

Event detection and localization for small mobile robots using reservoir computing.
Neural Networks, 2008

Improving reservoirs using intrinsic plasticity.
Neurocomputing, 2008

Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network.
Proceedings of the IEEE International Conference on Systems, 2008

Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers.
Proceedings of the Optical Super Computing, First International Workshop, 2008

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Band-pass Reservoir Computing.
Proceedings of the International Joint Conference on Neural Networks, 2008

Mobile robot control in the road sign problem using Reservoir Computing networks.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Stable Output Feedback in Reservoir Computing Using Ridge Regression.
Proceedings of the Artificial Neural Networks, 2008

Pruning and Regularisation in Reservoir Computing: a First Insight.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing.
Neural Process. Lett., 2007

An experimental unification of reservoir computing methods.
Neural Networks, 2007

Linking non-binned spike train kernels to several existing spike train metrics.
Neurocomputing, 2007

Compact hardware for real-time speech recognition using a Liquid State Machine.
Proceedings of the International Joint Conference on Neural Networks, 2007

The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition.
Proceedings of the Artificial Neural Networks, 2007

Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing.
Proceedings of the Artificial Neural Networks, 2007

Adapting reservoir states to get Gaussian distributions.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

An overview of reservoir computing: theory, applications and implementations.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Bat echolocation modelling using spike kernels with Support Vector Regression.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Reservoir-based techniques for speech recognition.
Proceedings of the International Joint Conference on Neural Networks, 2006

Backpropagation for Population-Temporal Coded Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks.
Proceedings of the Artificial Neural Networks, 2006

Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Isolated word recognition with the <i>Liquid State Machine</i>: a case study.
Inf. Process. Lett., 2005

Isolated word recognition using a Liquid State Machine.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

A Hardware-Friendly Wavelet Entropy Codec for Scalable Video.
Proceedings of the 2005 Design, 2005


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