According to our database1, Peter Bienstman authored at least 23 papers between 2005 and 2020.
Legend:Book In proceedings Article PhD thesis Other
Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Training Passive Photonic Reservoirs With Integrated Optical Readout.
IEEE Trans. Neural Networks Learn. Syst., 2019
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping.
Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout.
A Power-Efficient Architecture for On-Chip Reservoir Computing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing.
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Neuromorphic Computing with Signal-Mixing Cavities.
Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018
A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing.
Cogn. Comput., 2017
On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016
Silicon photonics: Silicon nitride versus silicon-on-insulator.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016
Optoelectronic Systems Trained With Backpropagation Through Time.
IEEE Trans. Neural Networks Learn. Syst., 2015
Photonic delay systems as machine learning implementations.
J. Mach. Learn. Res., 2015
High performance photonic reservoir computer based on a coherently driven passive cavity.
Photonic reservoir computing approaches to nanoscale computation.
Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2014
Trainable and Dynamic Computing: Error Backpropagation through Physical Media.
Improving the design cycle for nanophotonic components.
J. Comput. Sci., 2013
Parallel Reservoir Computing Using Optical Amplifiers.
IEEE Trans. Neural Networks, 2011
Python Bindings for the Open Source Electromagnetic Simulator Meep.
Comput. Sci. Eng., 2011
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers.
Proceedings of the Optical Super Computing, First International Workshop, 2008
Python in Nanophotonics Research.
Comput. Sci. Eng., 2007
Band-edge lasing in gold-clad photonic-crystal membranes.
IEEE J. Sel. Areas Commun., 2005