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Researcher
Michiel Hermans
Profile
Projects
Publications
Activities
Awards & Distinctions
14
Results
2015
Memristor models for machine learning
Juan Pablo Carbajal
Joni Dambre
Michiel Hermans
Benjamin Schrauwen
A1
Journal Article
in
NEURAL COMPUTATION
2015
Optoelectronic systems trained with backpropagation through time
Michiel Hermans
Joni Dambre
Peter Bienstman
A1
Journal Article
in
IEEE Transactions on Neural Networks and Learning Systems
2015
Photonic delay systems as machine learning implementations
Michiel Hermans
Miguel C. Soriano
Joni Dambre
Peter Bienstman
Ingo Fischer
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2015
Trainable hardware for dynamical computing using error backpropagation through physical media
Michiel Hermans
Michaƫl Burm
Thomas Van Vaerenbergh
Joni Dambre
Peter Bienstman
A1
Journal Article
in
NATURE COMMUNICATIONS
2015
2014
Automated design of complex dynamic systems
Michiel Hermans
Benjamin Schrauwen
Peter Bienstman
Joni Dambre
A1
Journal Article
in
PLOS ONE
2014
2013
MACOP modular architecture with control primitives
Tim Waegeman
Michiel Hermans
Benjamin Schrauwen
A1
Journal Article
in
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
2013
2012
Expanding the theoretical framework of reservoir computing
Michiel Hermans
Benjamin Schrauwen
Dissertation
2012
Recurrent kernel machines : computing with infinite echo state networks
Michiel Hermans
Benjamin Schrauwen
A1
Journal Article
in
NEURAL COMPUTATION
2012
2010
Building robots as a tool to motivate students into an engineering education
Francis wyffels
Michiel Hermans
Benjamin Schrauwen
A2
Journal Article
in
AT&P JOURNAL PLUS
2010
Building robots as a tool to motivate students into an engineering education
Francis wyffels
Michiel Hermans
Benjamin Schrauwen
C1
Conference
2010
Memory in linear recurrent neural networks in continuous time
Michiel Hermans
Benjamin Schrauwen
A1
Journal Article
in
NEURAL NETWORKS
2010
Memory in reservoirs for high dimensional input
Michiel Hermans
Benjamin Schrauwen
P1
Conference
2010
One step backpropagation through time for learning input mapping in reservoir computing applied to speech recognition
Michiel Hermans
Benjamin Schrauwen
P1
Conference
2010
2008
Biologically inspired features in spiking neural networks
Michiel Hermans
Benjamin Schrauwen
Michiel D'Haene
Dirk Stroobandt
C1
Conference
2008