Peter Bienstman

According to our database1, Peter Bienstman authored at least 23 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2019
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.
CoRR, 2019

Addressing Limited Weight Resolution in a Fully Optical Neuromorphic Reservoir Computing Readout.
CoRR, 2019

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

2018
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

2017
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

2016
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

2015
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.
CoRR, 2015

Photonic reservoir computing approaches to nanoscale computation.
Proceedings of the Second Annual International Conference on Nanoscale Computing and Communication, 2015

2014
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.
CoRR, 2014

2013
Improving the design cycle for nanophotonic components.
J. Comput. Sci., 2013

2011
Parallel Reservoir Computing Using Optical Amplifiers.
IEEE Trans. Neural Networks, 2011

Python Bindings for the Open Source Electromagnetic Simulator Meep.
Comput. Sci. Eng., 2011

2008
Photonic Reservoir Computing with Coupled Semiconductor Optical Amplifiers.
Proceedings of the Optical Super Computing, First International Workshop, 2008

2007
Python in Nanophotonics Research.
Comput. Sci. Eng., 2007

2005
Band-edge lasing in gold-clad photonic-crystal membranes.
IEEE J. Sel. Areas Commun., 2005


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