Francis wyffels
Francis wyffels
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Titel
Zitiert von
Zitiert von
Jahr
A differentiable physics engine for deep learning in robotics
J Degrave, M Hermans, J Dambre, F wyffels
Frontiers in neurorobotics 13, 6, 2019
862019
A differentiable physics engine for deep learning in robotics
J Degrave, M Hermans, J Dambre, F wyffels
Frontiers in neurorobotics 13, 6, 2019
862019
Stable output feedback in reservoir computing using ridge regression
F Wyffels, B Schrauwen, D Stroobandt
International conference on artificial neural networks, 808-817, 2008
762008
A comparative study of reservoir computing strategies for monthly time series prediction
F Wyffels, B Schrauwen
Neurocomputing 73 (10-12), 1958-1964, 2010
672010
Feedback control by online learning an inverse model
T Waegeman, F wyffels, B Schrauwen
IEEE transactions on neural networks and learning systems 23 (10), 1637-1648, 2012
562012
Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns
MAA Fiers, T Van Vaerenbergh, F Wyffels, D Verstraeten, B Schrauwen, ...
IEEE transactions on neural networks and learning systems 25 (2), 344-355, 2013
422013
Leveraging robotics research for children with autism: a review
LI Ismail, T Verhoeven, J Dambre, F Wyffels
International Journal of Social Robotics 11 (3), 389-410, 2019
392019
Design and evaluation of a DIY construction system for educational robot kits
C Vandevelde, F Wyffels, MC Ciocci, B Vanderborght, J Saldien
International Journal of Technology and Design Education 26 (4), 521-540, 2016
302016
Band-pass reservoir computing
F Wyffels, B Schrauwen, D Verstraeten, D Stroobandt
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
262008
Band-pass reservoir computing
F Wyffels, B Schrauwen, D Verstraeten, D Stroobandt
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
262008
Design of a central pattern generator using reservoir computing for learning human motion
F Wyffels, B Schrauwen
2009 Advanced Technologies for Enhanced Quality of Life, 118-122, 2009
232009
Morphological properties of mass–spring networks for optimal locomotion learning
G Urbain, J Degrave, B Carette, J Dambre, F Wyffels
Frontiers in neurorobotics 11, 16, 2017
212017
Developing an embodied gait on a compliant quadrupedal robot
J Degrave, K Caluwaerts, J Dambre, F Wyffels
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
202015
The spectral radius remains a valid indicator of the echo state property for large reservoirs
K Caluwaerts, F Wyffels, S Dieleman, B Schrauwen
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013
202013
Using reservoir computing in a decomposition approach for time series prediction
F wyffels, B Schrauwen, D Stroobandt
ESTSP 2008 European Symposium on Time Series Prediction, 149-158, 2008
18*2008
Frequency modulation of large oscillatory neural networks
F wyffels, J Li, T Waegeman, B Schrauwen, H Jaeger
Biological cybernetics 108 (2), 145-157, 2014
172014
Do-it-yourself design for social robots: An open-source hardware platform to encourage innovation
C Vandevelde, F Wyffels, B Vanderborght, J Saldien
IEEE Robotics & Automation Magazine 24 (1), 86-94, 2017
162017
Identifying and removing micro-drift in ground-based electromagnetic induction data
P De Smedt, S Delefortrie, F Wyffels
Journal of Applied Geophysics 131, 14-22, 2016
162016
Transfer learning of gaits on a quadrupedal robot
J Degrave, M Burm, PJ Kindermans, J Dambre, F Wyffels
Adaptive Behavior 23 (2), 69-82, 2015
162015
Terrain classification for a quadruped robot
J Degrave, R Van Cauwenbergh, F Wyffels, T Waegeman, B Schrauwen
2013 12th International Conference on Machine Learning and Applications 1 …, 2013
152013
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