Communications publiées lors de congrès ou colloques nationaux et internationaux (92)
  1. 12. Alata, R., Pauwels, J., Sande, G. V. D., Bouwens, A., Haelterman, M., & Massar, S. (2019). Phase noise robustness of a coherent spatially parallel optical reservoir. In 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference (p. jsi_p_5) Optical Society of America.
  2. 13. Pauwels, J., Verschaffelt, G., Massar, S., & Sande, G. V. D. (2019). High Performance Optical Reservoir Computing based on Spatially Extended Systems. In 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference: CLEO EUROPE 2019 (p. jsi_p_2) Optical Society of America.
  3. 14. Antonik, P., Gulina, M., Pauwels, J., Rontani, D., Haelterman, M., & Massar, S. (2018). Spying on chaos-based cryptosystems with reservoir computing. In 2018 International Joint Conference on Neural Networks (IJCNN) IEEE. doi:10.1109/IJCNN.2018.8489102
  4. 15. Pauwels, J., Van Der Sande, G., Bouwens, A., Haelterman, M., & Massar, S. (2018). Towards high-performance spatially parallel optical reservoir computing. In Proc. SPIE 10689, Neuro-inspired Photonic Computing (p. 1068904) SPIE.
  5. 16. Kassa, W., Dimitriadou, E., Haelterman, M., Massar, S., & Bente, E. A. (2018). Towards integrated parallel photonic reservoir computing based on frequency multiplexing. In Proc. SPIE 10689, Neuro-inspired Photonic Computing SPIE.
  6. 17. Antonik, P., Hermans, M., Haelterman, M., & Massar, S. (2017). Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence: AAAI-17: Vol. 6 (p. 4901) Palo Alto, California: AAAI Press.
  7. 18. Antonik, P., Haelterman, M., & Massar, S. (2017). Improving performance of analogue readout layers for photonic reservoir computers with online learning. In Proceedings of 31st AAAI Conference on Artificial Intelligence: Vol. 6 (p. 4899) Palo Alto, California.: AAAI Press.
  8. 19. Akrout, A., Antonik, P., Haelterman, M., & Massar, S. (2017). Towards autonomous photonic reservoir computer based on frequency parallelism of neurons. Proceedings of SPIE - The International Society for Optical Engineering: Proceedings Volume 10089, Real-time Measurements, Rogue Phenomena, and Single-Shot Applications II; 100890S (2017) (22 February 2017) doi:10.1117/12.2250865
  9. 20. Massar, S. (2017). Certified Quantum Randomness. About Various Kinds of Interactions: Proceedings of the Workshop in honour of the 65th birthday of Professor Philippe Spindel, editors N. Boulanger and S. Detournay (p. 175).
  10. 21. Antonik, P., Hermans, M., Haelterman, M., & Massar, S. (2016). Pattern and Frequency Generation Using an Opto-Electronic Reservoir Computer with Output Feedback. Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II: Lecture Notes in Computer Science. Vol. 9948 (pp. 318-325) ICONIP 2016(Kyoto, Japon). doi:10.1007/978-3-319-46672-9_36
  11. 22. Antonik, P., Hermans, M., Haelterman, M., & Massar, S. (2016). Towards Adjustable Signal Generation with Photonic Reservoir Computers. Artificial Neural Networks and Machine Learning - ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I: Lecture Notes in Computer Science. Vol. 9886 (pp. 374-381) (Barcelone). doi:10.1007/978-3-319-44778-0_44
  12. 23. Bauduin, M., Vinckier, Q., Massar, S., & Horlin, F. (2016). High performance bio-inspired analog equalizer for DVB-S2 non-linear communication channel. Proc. of the 17th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC (03-06 July, 2016: Edinburgh, UK) doi:10.1109/SPAWC.2016.7536818
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