| 2017 | AAAI | Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback. | Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2017 | ICLR | A Differentiable Physics Engine for Deep Learning in Robotics. | Jonas Degrave, Michiel Hermans, Joni Dambre, Francis Wyffels |
| 2017 | IJCNN | Photonic reservoir computer with output feedback for chaotic time series prediction. | Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2016 | ICANN | Towards Adjustable Signal Generation with Photonic Reservoir Computers. | Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2016 | ICONIP | Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback. | Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2015 | ICONIP | Online Training of an Opto-Electronic Reservoir Computer. | Piotr Antonik, Franois Duport, Anteo Smerieri, Michiel Hermans, Marc Haelterman, Serge Massar |
| 2012 | ICANN | Infinite Sparse Threshold Unit Networks. | Michiel Hermans, Benjamin Schrauwen |
| 2010 | IJCNN | Memory in reservoirs for high dimensional input. | Michiel Hermans, Benjamin Schrauwen |
| 2010 | ISCAS | One step Backpropagation Through Time for learning input mapping in reservoir computing applied to speech recognition. | Michiel Hermans, Benjamin Schrauwen |