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Michiel Hermans
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Training and analysing deep recurrent neural networks
M Hermans, B Schrauwen
Advances in neural information processing systems 26, 2013
5932013
A differentiable physics engine for deep learning in robotics
J Degrave, M Hermans, J Dambre
Frontiers in neurorobotics, 6, 2019
1542019
Recurrent kernel machines: Computing with infinite echo state networks
M Hermans, B Schrauwen
Neural Computation 24 (1), 104-133, 2012
972012
Memory in linear recurrent neural networks in continuous time
M Hermans, B Schrauwen
Neural Networks 23 (3), 341-355, 2010
752010
Online training of an opto-electronic reservoir computer applied to real-time channel equalization
P Antonik, F Duport, M Hermans, A Smerieri, M Haelterman, S Massar
IEEE Transactions on Neural Networks and Learning Systems 28 (11), 2686-2698, 2016
592016
Trainable hardware for dynamical computing using error backpropagation through physical media
M Hermans, M Burm, T Van Vaerenbergh, J Dambre, P Bienstman
Nature communications 6 (1), 1-8, 2015
512015
Photonic Delay Systems as Machine Learning Implementations
M Hermans, M Soriano, J Dambre, P Bienstman, I Fischer
JMLR 16, 2081-2097, 2015
512015
Automated design of complex dynamic systems
M Hermans, B Schrauwen, P Bienstman, J Dambre
PloS one 9 (1), e86696, 2014
372014
Memristor models for machine learning
JP Carbajal, J Dambre, M Hermans, B Schrauwen
Neural computation 27 (3), 725-747, 2015
352015
Towards pattern generation and chaotic series prediction with photonic reservoir computers
P Antonik, M Hermans, F Duport, M Haelterman, S Massar
Real-time Measurements, Rogue Events, and Emerging Applications 9732, 21-32, 2016
292016
Optoelectronic systems trained with backpropagation through time
M Hermans, J Dambre, P Bienstman
IEEE transactions on neural networks and learning systems 26 (7), 1545-1550, 2014
242014
Embodiment of learning in electro-optical signal processors
M Hermans, P Antonik, M Haelterman, S Massar
Physical review letters 117 (12), 128301, 2016
222016
Memory in reservoirs for high dimensional input
M Hermans, B Schrauwen
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010
162010
MACOP modular architecture with control primitives
T Waegeman, M Hermans, B Schrauwen
Frontiers in computational neuroscience 7, 99, 2013
142013
Online training of an opto-electronic reservoir computer
P Antonik, F Duport, A Smerieri, M Hermans, M Haelterman, S Massar
International Conference on Neural Information Processing, 233-240, 2015
132015
Building robots as a tool to motivate students into an engineering education
F Wyffels, M Hermans, B Schrauwen
At&P Journal Plus 2 (2010-2), 113-116, 2010
132010
One step backpropagation through time for learning input mapping in reservoir computing applied to speech recognition
M Hermans, B Schrauwen
Proceedings of 2010 IEEE International Symposium on Circuits and Systemsá…, 2010
102010
Random pattern and frequency generation using a photonic reservoir computer with output feedback
P Antonik, M Hermans, M Haelterman, S Massar
Neural Processing Letters 47 (3), 1041-1054, 2018
92018
Determinants of the gold price
B Dierinck, M Fr÷mmel, B Schrauwen, M Hermans
Unievrsiteit Gent, 2012
82012
Photonic reservoir computer with output feedback for chaotic time series prediction
P Antonik, M Hermans, M Haelterman, S Massar
2017 International Joint Conference on Neural Networks (IJCNN), 2407-2413, 2017
72017
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