Michiel Hermans

28 papers A* 1B 2C 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2020 J jnl
Random pattern and frequency generation using a photonic reservoir computer with output feedback.
CoRR
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2019 J jnl
A Differentiable Physics Engine for Deep Learning in Robotics.
Frontiers Neurorobotics
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
2018 J jnl
Random Pattern and Frequency Generation Using a Photonic Reservoir Computer with Output Feedback.
Neural Process. Lett.
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2017 — conf
A Differentiable Physics Engine for Deep Learning in Robotics.
ICLR (Workshop)
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
2017 A* conf
Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback.
AAAI
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2017 J jnl
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalization.
IEEE Trans. Neural Networks Learn. Syst.
Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar
2017 B conf
Photonic reservoir computer with output feedback for chaotic time series prediction.
IJCNN
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2016 J jnl
A Differentiable Physics Engine for Deep Learning in Robotics.
CoRR
Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels
2016 J jnl
Embodiment of Learning in Electro-Optical Signal Processors.
CoRR
Michiel Hermans, Piotr Antonik, Marc Haelterman, Serge Massar
2016 J jnl
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation.
CoRR
Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar
2016 — conf
Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback.
ICONIP (2)
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2016 — conf
Towards Adjustable Signal Generation with Photonic Reservoir Computers.
ICANN (1)
Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar
2015 J jnl
Memristor Models for Machine Learning.
Neural Comput.
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen
2015 — conf
Online Training of an Opto-Electronic Reservoir Computer.
ICONIP (2)
Piotr Antonik, François Duport, Anteo Smerieri, Michiel Hermans, Marc Haelterman, Serge Massar
2015 J jnl
Optoelectronic Systems Trained With Backpropagation Through Time.
IEEE Trans. Neural Networks Learn. Syst.
Michiel Hermans, Joni Dambre, Peter Bienstman
2015 J jnl
Photonic Delay Systems as Machine Learning Implementations.
CoRR
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2015 J jnl
Photonic delay systems as machine learning implementations.
J. Mach. Learn. Res.
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer
2015 J jnl
Towards Trainable Media: Using Waves for Neural Network-Style Training.
CoRR
Michiel Hermans, Thomas Van Vaerenbergh
2014 J jnl
Memristor models for machine learning.
CoRR
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen
2014 J jnl
Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks.
Neural Comput.
Michiel D'Haene, Michiel Hermans, Benjamin Schrauwen
2014 J jnl
Trainable and Dynamic Computing: Error Backpropagation through Physical Media.
CoRR
Michiel Hermans, Michael Burm, Joni Dambre, Peter Bienstman
2013 J jnl
MACOP modular architecture with control primitives.
Frontiers Comput. Neurosci.
Tim Waegeman, Michiel Hermans, Benjamin Schrauwen
2013 — conf
Training and Analysing Deep Recurrent Neural Networks.
NIPS
Michiel Hermans, Benjamin Schrauwen
2012 — conf
Infinite Sparse Threshold Unit Networks.
ICANN (1)
Michiel Hermans, Benjamin Schrauwen
2012 J jnl
Recurrent Kernel Machines: Computing with Infinite Echo State Networks.
Neural Comput.
Michiel Hermans, Benjamin Schrauwen
2010 J jnl
Memory in linear recurrent neural networks in continuous time.
Neural Networks
Michiel Hermans, Benjamin Schrauwen
2010 B conf
Memory in reservoirs for high dimensional input.
IJCNN
Michiel Hermans, Benjamin Schrauwen
2010 C conf
One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition.
ISCAS
Michiel Hermans, Benjamin Schrauwen