Ghent University Academic Bibliography

Your filters: cql: author="Hermans, Michiel" or (type any "bookEditor issueEditor" and editor="Hermans, Michiel")

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- Journal Article
- A1
- open access
A differentiable physics engine for deep learning in robotics

Jonas Degrave, Michiel Hermans, Joni Dambre (UGent) and Francis wyffels (UGent)

(2019) FRONTIERS IN NEUROROBOTICS. 13(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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- Journal Article
- A1
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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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- Journal Article
- A1
- open access
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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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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- Journal Article
- A1
- open access
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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- Journal Article
- A1
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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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- PhD Thesis
- open access
Expanding the theoretical framework of reservoir computing

Michiel Hermans (UGent)

(2012)
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- Journal Article
- A1
- open access
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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- Conference Paper
- P1
- open access
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

Academic Bibliography

A differentiable physics engine for deep learning in robotics

Optoelectronic systems trained with backpropagation through time

Memristor models for machine learning

Trainable hardware for dynamical computing using error backpropagation through physical media

Photonic delay systems as machine learning implementations

Automated design of complex dynamic systems

MACOP modular architecture with control primitives

Expanding the theoretical framework of reservoir computing

Recurrent kernel machines : computing with infinite echo state networks

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

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