790 citations · 2k across the 26 of their papers we have counts for
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Populations of Spiking Neurons for Reservoir Computing: Closed Loop Control of a Compliant Quadruped
Alexander Vandesompele, Gabriel Urbain, Francis wyffels +1
Compliant robots can be more versatile than traditional robots, but their control is more complex. The dynamics of compliant bodies can however be turned into an advantage using th…
Training Passive Photonic Reservoirs with Integrated Optical Readout
Matthias Freiberger, Andrew Katumba, Peter Bienstman +1
As Moore's law comes to an end, neuromorphic approaches to computing are on the rise. One of these, passive photonic reservoir computing, is a strong candidate for computing at hig…
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivati…
Photonic Delay Systems as Machine Learning Implementations
Michiel Hermans, Miguel Soriano, Joni Dambre +2
Nonlinear photonic delay systems present interesting implementation platforms for machine learning models. They can be extremely fast, offer great degrees of parallelism and potent…
Trainable and Dynamic Computing: Error Backpropagation through Physical Media
Michiel Hermans, Michaël Burm, Joni Dambre +1
Machine learning algorithms, and more in particular neural networks, arguably experience a revolution in terms of performance. Currently, the best systems we have for speech recogn…