Piotr Antonik, PhD

Piotr Antonik, PhD

Associate Professor at CentraleSupélec

I combine electronics and optics for highly efficient AI systems.

Papers

These are my major journal papers (book chapters and conference proceedings not included). The complete list of all of my publications can also be found on my Google Scholar profile.

2020

  • Antonik, Piotr, Serge Massar, and Guy Van Der Sande. “Photonic reservoir computing using delay dynamical systems.” Photoniques 104 (2020): 45-48. [DOI]
  • Baruah, V., Zahedivash, A., Hoyt, T., McElroy, A., Vela, D., Buja, L.M., Cabe, A., Oglesby, M., Estrada, A., Antonik, P. and Milner, T.E., 2020. Automated Coronary Plaque Characterization With Intravascular Optical Coherence Tomography and Smart-Algorithm Approach: Virtual Histology OCT. JACC: Cardiovascular Imaging, 13(8), pp.1848-1850. [DOI]
  • Nguimdo, R. M., Antonik, P., Marsal, N., & Rontani, D. (2020). Impact of optical coherence on the performance of large-scale spatiotemporal photonic reservoir computing systems. Optics Express, 28(19), 27989-28005. [DOI] [PDF]
  • Antonik, Piotr, et al. “Bayesian optimisation of large-scale photonic reservoir computers.” Cognitive Computation (in press). [arXiv]

2019

  • Antonik, Piotr, et al. “Human action recognition with a large-scale brain-inspired photonic computer.” Nature Machine Intelligence 1.11 (2019): 530-537. [DOI] [arXiv]
  • Antonik, Piotr, Nicolas Marsal, and Damien Rontani. “Large-scale spatiotemporal photonic reservoir computer for image classification.” IEEE Journal of Selected Topics in Quantum Electronics 26.1 (2019): 1-12. [DOI] [arXiv]

2018

  • Antonik, Piotr, et al. “Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography.” Physical Review E 98.1 (2018): 012215. [DOI] [arXiv]
  • Antonik, Piotr, et al. “Random pattern and frequency generation using a photonic reservoir computer with output feedback.” Neural Processing Letters 47.3 (2018): 1041-1054. [DOI] [arXiv]

2017

  • Antonik, Piotr, Marc Haelterman, and Serge Massar. “Brain-inspired photonic signal processor for generating periodic patterns and emulating chaotic systems.” Physical Review Applied 7.5 (2017): 054014. [DOI] [arXiv]
  • Antonik, Piotr, Marc Haelterman, and Serge Massar. “Online training for high-performance analogue readout layers in photonic reservoir computers.” Cognitive Computation 9.3 (2017): 297-306. [DOI] [arXiv]

2016

  • Antonik, Piotr, et al. “Online training of an opto-electronic reservoir computer applied to real-time channel equalization.” IEEE transactions on neural networks and learning systems 28.11 (2016): 2686-2698. [DOI] [arXiv]
  • Hermans, M., Antonik, P., Haelterman, M., & Massar, S. (2016). Embodiment of learning in electro-optical signal processors. Physical review letters, 117(12), 128301. [DOI] [arXiv]