Publications – POST-DIGITAL

S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, S. Masaad, L. Nguyen, E. Picco, G. Pourcel, A. Skalli, L. Talandier, B. Vettelschoss, E.A. Vlieg, A. Argyris, P. Bienstman, D. Brunner, J. Dambre, L. Daudet, J.D. Domenech, I. Fischer, F. Horst, S. Massar, C.R. Mirasso, B.J. Offrein, A. Rossi, M.C. Soriano, S. Sygletos, S.K. Turitsyn (2024)

A photonics perspective on computing with physical substrates

Reviews in Physics 12

doi: 10.1016/j.revip.2024.100093

OA: research.rug.nl/en/publications/a-photonics-perspective-on-computing-with-physical-substrates

Marina Zajnulina, Alessandro Lupo, Serge Massar (2024)

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach

Optics Express (2024; in press)

doi: 10.1364/oe.503279

OA: https://arxiv.org/abs/2312.12296

Long H. Nguyen, Sonia Boscolo, and Stylianos Sygletos (2024)

Online digital compensation of pump dithering induced phase and amplitude distortions in transmission links with cascaded fibre-optical parametric amplifiers

Opt. Express 32, 13467-13477

OA: <href=”https://research.aston.ac.uk/en/publications/online-digital-compensation-of-pump-dithering-induced-phase-and-a”> research.aston.ac.uk/en/publications/online-digital-compensation-of-pump-dithering-induced-phase-and-a

doi: 10.1364/oe.516840

OA: research.aston.ac.uk/en/publications/online-digital-compensation-of-pump-dithering-induced-phase-and-a

B.J. Offrein, E.A. Vlieg, F. Hermann, L. Carraria Martinotti, F. Horst (2023)

Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies

2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)

doi: 10.1109/cleo/europe-eqec57999.2023.10232665

OA: https://zenodo.org/records/13325347

Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman (2023)

Flow cytometry with event-based vision and spiking neuromorphic hardware

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 4139-4147

doi: 10.1109/cvprw59228.2023.00435

OA: https://research.rug.nl/en/publications/flow-cytometry-with-event-based-vision-and-spiking-neuromorphic-h

Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar (2023)

Deep photonic reservoir computer based on frequency multiplexing with fully analog connection between layers

OpticaVol. 10, Issue 11

doi: 10.1364/optica.489501

OA: https://arxiv.org/html/2305.08892

Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel (2023)

Toward a formal theory for computing machines made out of whatever physics offers

Nature Communications volume 14, Article number: 4911

doi: 10.1038/s41467-023-40533-1

OA: https://arxiv.org/pdf/2307.15408.pdf

Elger A. Vlieg, Folkert Horst, Roger Dangel and Bert J. Offrein (2023)

The Demonstration of Photorefractive Synaptic Connections for an Integrated Photonic Crossbar Array

Nature Communications volume 14, Article number: 4911

doi: https://opg.optica.org/abstract.cfm?uri=EQEC-2023-jsiii_4_4

OA: https://zenodo.org/records/13303142

I. K. Boikov; D. Brunner; A. De Rossi (2023)

Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing

New Journal of Physics Vol 25

doi: 10.1088/1367-2630/acfba6

OA: https://dumas.ccsd.cnrs.fr/ENSMM/hal-04302885v1

Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Michael Anderson, Diego Argüello Ron, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky (2023)

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

Journal of Lightwave Technology 41, Issue 14

doi: 10.1109/jlt.2023.3234327

OA: research.aston.ac.uk/en/publications/reducing-computational-complexity-of-neural-networks-in-optical-c

Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano (2023)

Exploiting oscillatory dynamics of delay systems for reservoir computing

Chaos 33 (9): 093139

doi: 10.1063/5.0156494

OA: digital.csic.es/bitstream/10261/351637/1/reservoir-computing.pdf

Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano (2023)

Nonlinear photonic dynamical systems for unconventional computing

Nonlinear Theory and Its Applications, IEICE

doi: 10.1587/nolta.13.26

OA: https://www.jstage.jst.go.jp/article/nolta/13/1/13_26/_pdf

Enrico Picco, Piotr Antonik, Serge Massar (2023)

High Speed Human Action Recognition using a Photonic Reservoir Computer

Neural Networks, Volume 165, Pages 662-675

doi: 10.1016/j.neunet.2023.06.014

OA: https://doi.org/10.48550/arXiv.2305.15283

Tigers Jonuzi, Alessandro Lupo, Miguel C. Soriano, Serge Massar, and J. D. Domenéch (2023)

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Optics Express, Vol. 31, Issue 12, pp. 19255-19265

doi: https://doi.org/10.1364/OE.489246

OA: 10.1364/OE.489246

Elger A. Vlieg, Folkert Horst, Roger Dangel, Bert J. Offrein (2023)

Programmable photorefractive optical synapses in integrated photonics for neuromorphic computing

European Conference on Integrated Optics

doi: 10.5281/zenodo.13284219

OA: https://www.ecio-conference.org/wp-content/uploads/2023/05/abstract_ecio-2023_PPU_v3_printed.pdf;

Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner (2022)

Photonic neuromorphic computing using vertical cavity semiconductor lasers

Optical Materials Express 12, 2395-2414

OA: https://arxiv.org/abs/2112.08086

doi: 10.1364/ome.450926

Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner (2022)

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing

Optical Materials Express Vol. 12, Issue 7, pp. 2793-2804

doi: 10.1364/ome.451524

OA: https://arxiv.org/abs/2112.08947

Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner, Hans Kleemann (2022)

Hands-on reservoir computing: a tutorial for practical implementation

Neuromorphic Computing and Engineering, Volume 2, Number 3

doi: iopscience.iop.org/article/10.1088/2634-4386/ac7db7

OA: research.rug.nl/en/publications/hands-on-reservoir-computing-a-tutorial-for-practical-implementat

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano (2022)

Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks

PHYSICAL REVIEW E, Volume 106, 044211

doi: 10.1103/PhysRevE.106.044211

OA: digital.csic.es/bitstream/10261/305310/1/scalable-neural-networks.pdf

Sarah Masaad, Emmanuel Gooskens, Stijn Sackesyn, Joni Dambre, Peter Bienstman (2022)

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver

Nanophotonics, Volume 12 (5)

doi: 10.1515/nanoph-2022-0426

OA: photonics.intec.ugent.be/download/pub_4961.pdf

Elger A. Vlieg, Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein (2022)

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

MDPI – Applied Sciences, 12(9), 4226, Special Issue Photonics for Optical Computing

doi: 10.3390/app12094226

OA: ifisc.uib-csic.es/en/publications/an-integrated-photorefractive-analog-matrix-vector/

Apostolos Argyris (2022)

Photonic neuromorphic technologies in optical communications

Nanophotonics, Volume 11 (5)

doi: 10.1515/nanoph-2021-0578

OA: digital.csic.es/handle/10261/271202

Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel (2022)

What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?

Proceedings of the 39th International Conference on Machine Learning, PMLR 162:22964-22984

doi: proceedings.mlr.press/v162/wang22u/wang22u.pdf

OA: arxiv.org/abs/2204.05832

Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli (2022)

Is the Number of Trainable Parameters All That Actually Matters?

Proceedings of Machine Learning Research (Vol 163)

doi: proceedings.mlr.press/v163/chatelain22a.html

OA: arxiv.org/abs/2109.11928

Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, and Serge Massar (2022)

Photonic reservoir computer based on frequency multiplexing

Optics Letters , Vol. 47, Issue 4, pp. 782-785

doi: doi.org/10.1364/OL.451087

OA: arxiv.org/abs/2008.11247v2

Irene Estébanez, Shi Li, Janek Schwind, Ingo Fischer, Stephan Pachnicke, Apostolos Argyris (2022)

Photonic processing for a 56 GBaud PAM-4 100 km Transmission System

IFISC Poster Party (2022)
doi: (NA)
OA: https://digital.csic.es/handle/10261/267466

Mirko Goldmann, Ingo Fischer, Miguel C. Soriano (2021)

Analog information processing with time-multiplexed optoelectronic systems

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 118041X

doi: doi.org/10.1117/12.2594151

OA: ifisc.uib-csic.es/eu/publications/analog-information-processing-with-time-multiplexe/

Elger A. Vlieg, Roger Dangel, Folkert Horst, and Bert J. (2021)

Photonic photorefractive MAC accelerator for Machine Learning

Photonics in Switching and Computing 2021

doi: 10.1364/PSC.2021.M2B.3

OA: zenodo.org/records/13304617

Benedikt Vettelschoss; André Röhm; Miguel C. Soriano (2021)

Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation

IEEE Transactions on Neural Networks and Learning Systems, Special Issue on New Frontiers in Extremely Efficient Reservoir Computing p. 1-12

doi: 10.1109/tnnls.2021.3116709

OA: https://ifisc.uib-csic.es/media/publications/publication/m_Ej3g5UQRKTSBSkjOi3Yg.pdf

Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner (2021)

Neural Network Computing using a Semiconductor Multimode Laser

in OSA Nonlinear Optics 2021, R. Boyd, C. Conti, D. Christodoulides, and P. Rakich, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper NTh1A.2

doi: 10.1364/NLO.2021.NTh1A.2

OA: https://www.researchgate.net/publication/358156800_Neural_Network_Computing_using_a_Semiconductor_Multimode_Laser

Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris (2021)

56 GBaud PAM-4 100 Km Transmission System With Photonic Processing Schemes
Journal of Lightwave technology, Volume 40, Issue 1

doi: 10.1109/JLT.2021.3117921

OA: ifisc.uib-csic.es/media/publications/publication/G2ZhjnnsR0yBaTUScmmcgg.pdf

Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano (2021)

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance
Proceedings of 2021 International Joint Conference on Neural Networks (IJCNN), 18-22 July 2021

doi: 10.1109/ijcnn52387.2021.9534333

OA: ifisc.uib-csic.es/media/publications/publication/6K37rzENTwKhRE4NhBwo6g.pdf

Alessandro Lupo and Serge Massar (2021)

Parallel Extreme Learning Machines Based on Frequency Multiplexing,

Applied Sciences 12, no. 1: 214.

doi: 10.3390/app12010214

OA: dipot.ulb.ac.be/dspace/bitstream/2013/345238/1/doi_328882.pdf

Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott and Daniel Brunner (2021),

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser,

Journal of Physics: Photonics, 29 April 2021

doi: https://doi.org/10.1088/2515-7647/abf6bd

OA: arxiv.org/abs/2012.11153; watch presentation at 10.1117/12.2594646

Alessandro Lupo, Lorenz Butschek, and Serge Massar (2021)

Photonic extreme learning machine based on frequency multiplexing,

Optics Express Volume . 29,Issue 18, p. 28257-28276

doi: 10.1364/OE.433535

OA: dipot.ulb.ac.be/dspace/bitstream/2013/345224/3/2021-Alessandro-oe-29-18-28257.pdf

Andreoli, L., Porte, X., Chrétien, S., Jacquot, M., Larger, L., & Brunner, D. (2020).

Boolean learning under noise-perturbations in hardware neural networks,

Nanophotonics (published online ahead of print), 20200171.

doi: https://doi.org/10.1515/nanoph-2020-0171

OA: arxiv.org/abs/2003.12319v1