Year Title Authors Title of the Journal/Proc. Number DOI Repository Link
Article in Journal (peer reviewed)
2024 Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach Marina Zajnulina, Alessandro Lupo, Serge Massar Optics Express 10.1364/oe.503279 https://arxiv.org/abs/2312.12296
2024 Online digital compensation of pump dithering induced phase and amplitude distortions in transmission links with cascaded fibre-optical parametric amplifiers Long H. Nguyen, Sonia Boscolo, and Stylianos Sygletos Opt. Express 32 10.1364/oe.516840 https://research.aston.ac.uk/en/publications/online-digital-compensation-of-pump-dithering-induced-phase-and-a
2024 A photonics perspective on computing with physical substrates 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 Reviews in Physics 12 10.1016/j.revip.2024.100093 https://research.rug.nl/en/publications/a-photonics-perspective-on-computing-with-physical-substrates
2023 Is the Number of Trainable Parameters All That Actually Matters? Chatelain, Amélie; Djeghri, Amine; Hesslow, Daniel; Launay, Julien; Poli, Iacopo Proceedings of Machine Learning Research  Vol 163 https://arxiv.org/abs/2109.11928
2023 Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing I K Boikov, D Brunner, A De Rossi New Journal of Physics 25 10.1088/1367-2630/acfba6 https://dumas.ccsd.cnrs.fr/ENSMM/hal-04302885v1
2023 Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire, Antonio Napoli, Bernhard Spinnler, Michael Anderson, Diego Argüello Ron, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky Journal of Lightwave Technology 41 10.1109/jlt.2023.3234327 https://research.aston.ac.uk/en/publications/reducing-computational-complexity-of-neural-networks-in-optical-c
2023 Deep photonic reservoir computer based on frequency multiplexing with fully analog connection between layers Alessandro Lupo, Enrico Picco, Marina Zajnulina, and Serge Massar Optica Vol. 10, Issue 11, 10.1364/optica.489501 https://arxiv.org/html/2305.08892
2023 Exploiting oscillatory dynamics of delay systems for reservoir computing Mirko Goldmann; Ingo Fischer; Claudio R. Mirasso; Miguel C. Soriano Chaos 33 10.1063/5.0156494 https://digital.csic.es/bitstream/10261/351637/1/reservoir-computing.pdf
2023 Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers TIGERS JONUZI, ALESSANDRO LUPO, MIGUEL C.SORIANO, SERGE MASSAR, J. D. DOMENÉCH Optics Express 31(12) 10.1364/oe.489246 https://pubmed.ncbi.nlm.nih.gov/37381344/
2023 The Demonstration of Photorefractive Synaptic Connections for an Integrated Photonic Crossbar Array Elger A. Vlieg, Folkert Horst, Roger Dangel and Bert J. Offrein Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023), Technical Digest Series  10.1109/CLEO/Europe-EQEC57999.2023.10232391 https://zenodo.org/records/13303142
2023 Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver Sarah Masaad, Emmanuel Gooskens , Stijn Sackesyn , Joni Dambre and Peter Bienstman Nanophotonics 10.1515/nanoph-2022-0426 https://photonics.intec.ugent.be/download/pub_4961.pdf
2023 High Speed Human Action Recognition using a Photonic Reservoir Computer Enrico Picco, Piotr Antonik, Serge Massar Neural Networks, Volume 165 10.1016/j.neunet.2023.06.014 https://arxiv.org/pdf/2305.15283v2.pdf
2023 Toward a formal theory for computing machines made out of whatever physics offers Herbert Jaeger, Beatriz Noheda & Wilfred G. van der Wiel Nature Communications volume 14, Article number: 4911 (2023) 10.1038/s41467-023-40533-1 https://arxiv.org/pdf/2307.15408.pdf
2022 Nonlinear photonic dynamical systems for unconventional computing Daniel Brunner; Laurent Larger; Miguel Cornelles Soriano Nonlinear Theory and Its Applications, IEICE 10.1587/nolta.13.26 https://www.jstage.jst.go.jp/article/nolta/13/1/13_26/_pdf
2022 Hands-on reservoir computing: a tutorial for practical implementation Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, Daniel Brunner and Hans Kleemann Neuromorphic Computing and Engineering Volume 2, Number 3 10.1088/2634-4386/ac7db7 https://research.rug.nl/en/publications/hands-on-reservoir-computing-a-tutorial-for-practical-implementat
2022 Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner Optical Materials Express Vol. 12, Issue 7, pp. 2793-2804 (2022) 10.1364/ome.451524 https://arxiv.org/abs/2112.08947
2022 Photonic reservoir computer based on frequency multiplexing Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Alessandro Lupo, Marc Haelterman, Serge Massar Optics Letters Vol. 47, Issue 4, 10.1364/ol.451087 https://arxiv.org/abs/2008.11247v2
2022 An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning Elger A. Vlieg,Lucas Talandier, Roger Dangel, Folkert Horst, Bert J. Offrein Applied Sciences 12(9) 10.3390/app12094226 https://ifisc.uib-csic.es/en/publications/an-integrated-photorefractive-analog-matrix-vector/
2022 Photonic neuromorphic technologies in optical communications Apostolos Argyris Nanophotonics Volume 11 Issue 5 10.1515/nanoph-2021-0578 https://digital.csic.es/handle/10261/271202
2022 Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano PHYSICAL REVIEW E Vol. 106, Iss. 4 10.48550/arxiv.2111.03706 https://digital.csic.es/bitstream/10261/305310/1/scalable-neural-networks.pdf
2022 Photonic neuromorphic computing using vertical cavity semiconductor lasers Anas Skalli, Joshua Robertson, Dafydd Owen-Newns, Matej Hejda, Xavier Porte, Stephan Reitzenstein, Antonio Hurtado, D. Brunner Optical Materials Express 12 10.1364/ome.450926 https://arxiv.org/abs/2112.08086
2022 56 GBaud PAM-4 100 Km Transmission System With Photonic Processing Schemes Irene Estébanez; Shi Li; Janek Schwind; Ingo Fischer; Stephan Pachnicke; Apostolos Argyris Journal of Lightwave Technology Vol. 40, Issue 1 10.1109/jlt.2021.3117921 https://ifisc.uib-csic.es/media/publications/publication/G2ZhjnnsR0yBaTUScmmcgg.pdf
2022 Parallel Extreme Learning Machines Based on Frequency Multiplexing Alessandro Lupo, Serge Massar MDPI Applied Sciences Volume 12, Issue 1, Special Issue Neuromorphic Photonics: Current Devices, Systems and Perspectives https://dipot.ulb.ac.be/dspace/bitstream/2013/345238/1/doi_328882.pdf
2022 Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation Benedikt Vettelschoss; André Röhm; Miguel C. Soriano IEEE Transactions on Neural Networks and Learning Systems Special Issue on New Frontiers in Extremely Efficient Reservoir Computing 10.1109/tnnls.2021.3116709 https://ifisc.uib-csic.es/media/publications/publication/m_Ej3g5UQRKTSBSkjOi3Yg.pdf
2021 Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer, Miguel C. Soriano 2021 International Joint Conference on Neural Networks (IJCNN) 10.1109/ijcnn52387.2021.9534333 https://ifisc.uib-csic.es/media/publications/publication/6K37rzENTwKhRE4NhBwo6g.pdf
2021 Analog information processing with time-multiplexed optoelectronic systems Mirko Goldmann, Ingo Fischer, Miguel C. Cornelles-Soriano Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 118041X 10.1117/12.2594151 https://ifisc.uib-csic.es/eu/publications/analog-information-processing-with-time-multiplexe/
2021 Photonic extreme learning machine based on frequency multiplexing Alessandro Lupo, Lorenz Butschek, and Serge Massar Optics Express Vol. 29, Issue 18 10.1364/oe.433535 https://dipot.ulb.ac.be/dspace/bitstream/2013/345224/3/2021-Alessandro-oe-29-18-28257.pdf
2021 A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A Lott, Daniel Brunner Journal of Physics: Photonics 3/2 10.1088/2515-7647/abf6bd https://arxiv.org/abs/2012.11153
2020 Boolean learning under noise-perturbations in hardware neural networks Louis Andreoli, Xavier Porte, Stéphane Chrétien, Maxime Jacquot, Laurent Larger, Daniel Brunner Nanophotonics 9/13 10.1515/nanoph-2020-0171 https://arxiv.org/abs/2003.12319v1
Publication in Conference proceedings/Workshop (peer reviewed)
2023 Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies B.J. Offrein, E.A. Vlieg, F. Hermann, L. Carraria Martinotti, F. Horst 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) 10.1109/cleo/europe-eqec57999.2023.10232665 https://zenodo.org/records/13325347
2023 Programmable photorefractive optical synapses in integrated photonics for neuromorphic computing Elger A. Vlieg, Folkert Horst, Roger Dangel, and Bert J. Offrein European Conference on Integrated Optics https://zenodo.org/records/13284219
2023 Flow cytometry with event-based vision and spiking neuromorphic hardware Steven Abreu, Muhammed Gouda, Alessio Lugnan, Peter Bienstman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops pp. 4139-4147 10.1109/cvprw59228.2023.00435 https://research.rug.nl/en/publications/flow-cytometry-with-event-based-vision-and-spiking-neuromorphic-h
2022 Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn  Sci Rep 12, 8713 10.1038/s41598-022-12563-0 https://research.aston.ac.uk/en/publications/experimental-implementation-of-a-neural-network-optical-channel-e
2022 What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? Thomas Wang, Adam Roberts, Daniel Hesslow, Teven Le Scao, Hyung Won Chung, Iz Beltagy, Julien Launay, Colin Raffel Proceedings of the 39 th International Conference on Machine Learning https://arxiv.org/abs/2204.05832
2021 A complete, parallel, and autonomous photonic neural network in a semiconductor multimode laser Anas Skalli, Javier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner Emerging Topics in Artificial Intelligence (ETAI) 2021 10.1117/12.2594646 https://depositonce.tu-berlin.de/bitstream/11303/13617/2/Porte_etal_complete_2021.pdf
2021 Photonic photorefractive MAC accelerator for Machine Learning Elger A. Vlieg, Roger Dangel, Folkert Horst, Bert J. Offrein Photonics in Switching and Computing 2021 10.1364/psc.2021.m2b.3 https://zenodo.org/records/13304617
2021 Neural Network Computing using a Semiconductor Multimode Laser Xavier Porte, Anas Skalli, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, Daniel Brunner OSA Nonlinear Optics 2021 10.1364/nlo.2021.nth1a.2 https://www.researchgate.net/publication/358156800_Neural_Network_Computing_using_a_Semiconductor_Multimode_Laser
2021 Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli 2021 IEEE Hot Chips 33 Symposium (HCS)  1-9 10.1109/HCS52781.2021.9566948 https://arxiv.org/abs/2104.14429
Other Publications
2024 Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input Picco, Enrico; Jaurigue, Lina; Lüdge, Kathy; Massar, Serge 10.48550/arxiv.2401.14371 http://arxiv.org/abs/2401.14371
2024 Nonlinear integrated optical resonators for optical fibre data recovery Ivan K. Boikov, Daniel Brunner, Alfredo De Rossi https://arxiv.org/abs/2405.06102
2023 Fully analog photonic deep Reservoir Computer based on frequency multiplexing. A. Lupo, E. Picco, M. Zajnulina, S. Massar. 10.48550/arxiv.2305.08892 https://arxiv.org/pdf/2305.08892.pdf
2023 Training a spiking neural network on an event-based label-free flow cytometry dataset Gouda, Muhammed; Abreu, Steven; Lugnan, Alessio; Bienstman, Peter 33 10.48550/arxiv.2303.10632 http://arxiv.org/abs/2303.10632
2023 Concepts and Paradigms for Neuromorphic Programming Steven Abreu 10.48550/arxiv.2310.18260 https://arxiv.org/abs/2310.18260
2023 Direct coupling of nonlinear integrated cavities for all-optical reservoir computing Ivan Boikov, Daniel Brunner, Alfredo De Rossi https://arxiv.org/abs/2307.10950
2023 Deep Photonic Reservoir Computer for Speech Recognition Enrico Picco, Alessandro Lupo, Serge Massar 10.48550/arxiv.2312.06558 https://doi.org/10.48550/arXiv.2312.06558
2023 Timescales: the choreography of classical and unconventional computing Herbert Jaeger*, Francky Catthoor 10.48550/arxiv.2301.00893 https://research.rug.nl/en/publications/timescales-the-choreography-of-classical-and-unconventional-compu
2023 Toward a formal theory for computing machines made out of whatever physics offers: extended version Herbert Jaeger, Beatriz Noheda, Wilfred G. van der Wiel 10.48550/arxiv.2307.15408 https://research.rug.nl/en/publications/toward-a-formal-theory-for-computing-machines-made-out-of-whateve-2
2023 Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing Pedersen, Jens E.; Abreu, Steven; Jobst, Matthias; Lenz, Gregor; Fra, Vittorio; Bauer, Felix C.; Muir, Dylan R.; Zhou, Peng; Vogginger, Bernhard; Heckel, Kade; Urgese, Gianvito; Shankar, Sadasivan; Stewart, Terrence C.; Eshraghian, Jason K.; Sheik, Sadique 10.48550/arxiv.2311.14641 http://arxiv.org/abs/2311.14641
2022 Photonic processing for a 56 GBaud PAM-4 100 km Transmission System Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos http://hdl.handle.net/10261/267466
2021 Contrastive Embeddings for Neural Architectures Daniel Hesslow & Iacopo Poli 10.48550/arxiv.2102.04208 https://arxiv.org/abs/2102.04208
2021 Realization of Neural Network-based Optical Channel Equalizer in Restricted Hardware Diego R. Arguello, Pedro J. Freire, Jaroslaw E. Prilepsky, Antonio Napoli, Morteza Kamalian-Kopae, Sergei K. Turitsyn https://arxiv.org/abs/2109.07204v1