Ghent University Academic Bibliography

Your filters: cql: author exact FAB4113C-F0ED-11E1-A9DE-61C894A0A6B4

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Trainable hardware for dynamical computing using error backpropagation through physical media

Michiel Hermans (UGent) , Michaël Burm (UGent) , Thomas Van Vaerenbergh (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2015) NATURE COMMUNICATIONS. 6.
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Optoelectronic systems trained with backpropagation through time

Michiel Hermans (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)

(2015) IEEE Transactions on Neural Networks and Learning Systems. 26(7). p.1545-1550
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Memristor models for machine learning

Juan Pablo Carbajal (UGent) , Joni Dambre (UGent) , Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2015) NEURAL COMPUTATION. 27(3). p.725-747
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Photonic delay systems as machine learning implementations

Michiel Hermans (UGent) , Miguel C. Soriano, Joni Dambre (UGent) , Peter Bienstman (UGent) and Ingo Fischer

(2015) JOURNAL OF MACHINE LEARNING RESEARCH. 16. p.2081-2097
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Automated design of complex dynamic systems

Michiel Hermans (UGent) , Benjamin Schrauwen (UGent) , Peter Bienstman (UGent) and Joni Dambre (UGent)

(2014) PLOS ONE. 9(1).
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MACOP modular architecture with control primitives

Tim Waegeman, Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2013) FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 7.
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Recurrent kernel machines : computing with infinite echo state networks

Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2012) NEURAL COMPUTATION. 24(1). p.104-133
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- PhD Thesis
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Expanding the theoretical framework of reservoir computing

Michiel Hermans (UGent)

(2012)
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One step backpropagation through time for learning input mapping in reservoir computing applied to speech recognition

Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2010) IEEE International Symposium on Circuits and Systems. p.521-524
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Memory in linear recurrent neural networks in continuous time

Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2010) NEURAL NETWORKS. 23(3). p.341-355
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- Conference Paper
- P1
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Memory in reservoirs for high dimensional input

Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2010) IEEE International Joint Conference on Neural Networks (IJCNN).
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Building robots as a tool to motivate students into an engineering education

Francis wyffels (UGent) , Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2010) Proceedings of the 1st international conference on robotics in education. p.49-52
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Building robots as a tool to motivate students into an engineering education

Francis wyffels (UGent) , Michiel Hermans (UGent) and Benjamin Schrauwen (UGent)

(2010) AT&P JOURNAL PLUS. p.113-116
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- Conference Paper
- C1
Biologically inspired features in spiking neural networks

Michiel Hermans (UGent) , Benjamin Schrauwen (UGent) , Michiel D'Haene (UGent) and Dirk Stroobandt (UGent)

(2008) Proceedings of the 19th Annual Workshop on Circuits, Systems and Signal Processing. p.328-334

Academic Bibliography

Trainable hardware for dynamical computing using error backpropagation through physical media

Optoelectronic systems trained with backpropagation through time

Memristor models for machine learning

Photonic delay systems as machine learning implementations

Automated design of complex dynamic systems

MACOP modular architecture with control primitives

Recurrent kernel machines : computing with infinite echo state networks

Expanding the theoretical framework of reservoir computing

One step backpropagation through time for learning input mapping in reservoir computing applied to speech recognition

Memory in linear recurrent neural networks in continuous time

Memory in reservoirs for high dimensional input

Building robots as a tool to motivate students into an engineering education

Building robots as a tool to motivate students into an engineering education

Biologically inspired features in spiking neural networks

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