A 4000 Hz CMOS image sensor with in-pixel processing for light measurement and modulation. - Timothé Laforest; Antoine Dupret; Arnaud Verdant; François Ramaz; Sylvain Gigan; Gilles Tessier; Emilie Benoit á la Guillaume (NEWCAS, 2013)

Co-integration of a smart CMOS image sensor and a spatial light modulator for real-time optical phase modulation. - Timothé Laforest; Arnaud Verdant; Antoine Dupret; Sylvain Gigan; François Ramaz; Gilles Tessier (IMSE, 2014)

Compressed sensing under strong noise. Application to imaging through multiply scattering media. - Antoine Liutkus; David Martina; Sylvain Gigan; Laurent Daudet (EUSIPCO, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system. - Boshra Rajaei; Eric W. Tramel; Sylvain Gigan; Florent Krzakala; Laurent Daudet (CoRR, 2015)

Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach. - Boshra Rajaei; Eric W. Tramel; Sylvain Gigan; Florent Krzakala; Laurent Daudet (ICASSP, 2016)

Random projections through multiple optical scattering: Approximating Kernels at the speed of light. - Alaa Saade; Francesco Caltagirone; Igor Carron; Laurent Daudet; Angélique Dremeau; Sylvain Gigan; Florent Krzakala (ICASSP, 2016)

Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery. - Eliel Hojman; Thomas Chaigne; Oren Solomon; Sylvain Gigan; Emmanuel Bossy; Yonina C. Eldar; Ori Katz (CoRR, 2016)

Fast Phase Retrieval for High Dimensions: A Block-Based Approach. - Boshra Rajaei; Sylvain Gigan; Florent Krzakala; Laurent Daudet (IEEE Signal Process. Lett., 2016)

Robust Phase Retrieval with the Swept Approximate Message Passing (prSAMP) Algorithm. - Boshra Rajaei; Sylvain Gigan; Florent Krzakala; Laurent Daudet (Image Process. Line, 2017)

Scaling Up Echo-State Networks With Multiple Light Scattering. - Jonathan Dong; Sylvain Gigan; Florent Krzakala; Gilles Wainrib (SSP, 2018)

Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media. - Jonathan Dong; Florent Krzakala; Sylvain Gigan (ICASSP, 2019)

Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. - Jonathan Dong; Mushegh Rafayelyan; Florent Krzakala; Sylvain Gigan (CoRR, 2019)

Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction. - Mushegh Rafayelyan; Jonathan Dong; Yongqi Tan; Florent Krzakala; Sylvain Gigan (CoRR, 2020)

How to organize an online conference. - Orad Reshef; Igor Aharonovich; Andrea Armani; Sylvain Gigan; Rachel Grange; Mikhail A. Kats; Riccardo Sapienza (CoRR, 2020)

Scalable spin-glass optical simulator. - Davide Pierangeli; Mushegh Rafayelyan; Claudio Conti; Sylvain Gigan (CoRR, 2020)

Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. - Julien Launay; Iacopo Poli; Kilian Müller; Igor Carron; Laurent Daudet; Florent Krzakala; Sylvain Gigan (CoRR, 2020)

Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. - Julien Launay; Iacopo Poli; Kilian Müller; Gustave Pariente; Igor Carron; Laurent Daudet; Florent Krzakala; Sylvain Gigan (CoRR, 2020)

LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. - Charles Brossollet; Alessandro Cappelli; Igor Carron; Charidimos Chaintoutis; Amélie Chatelain; Laurent Daudet; Sylvain Gigan; Daniel Hesslow; Florent Krzakala; Julien Launay; Safa Mokaadi; Fabien Moreau; et al. (HCS, 2021)

Intelligent Computing: The Latest Advances, Challenges and Future. - Shiqiang Zhu; Ting Yu 004; Tao Xu; Hongyang Chen; Schahram Dustdar; Sylvain Gigan; Deniz Gündüz; Ekram Hossain 001; Yaochu Jin; Feng Lin; Bo Liu 004; Zhiguo Wan; et al. (CoRR, 2022)

Deep Learning with Passive Optical Nonlinear Mapping. - Fei Xia; Kyungduk Kim; Yaniv Eliezer; Liam Shaughnessy; Sylvain Gigan; Hui Cao (CoRR, 2023)

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. - Jonathan Dong; Lorenzo Valzania; Antoine Maillard; Thanh-An Pham; Sylvain Gigan; Michael Unser (IEEE Signal Process. Mag., 2023)

Optical next generation reservoir computing. - Hao Wang 025; Jianqi Hu; YoonSeok Baek; Kohei Tsuchiyama; Malo Joly; Qiang Liu; Sylvain Gigan (CoRR, 2024)

Optical training of large-scale Transformers and deep neural networks with direct feedback alignment. - Ziao Wang; Kilian Müller; Matthew J. Filipovich; Julien Launay; Ruben Ohana; Gustave Pariente; Safa Mokaadi; Charles Brossollet; Fabien Moreau; Alessandro Cappelli; Iacopo Poli; Igor Carron; et al. (CoRR, 2024)

Large-scale photonic computing with nonlinear disordered media. - Hao Wang 025; Jianqi Hu; Andrea Morandi; Alfonso Nardi; Fei Xia; Xuanchen Li; Romolo Savo; Qiang Liu; Rachel Grange; Sylvain Gigan (Nat. Comput. Sci., 2024)

Roadmap on Neuromorphic Photonics. - Daniel Brunner; Bhavin J. Shastri; Mohammed Al-Qadasi; Hitesh Ballani; Sylvain Barbay; Stefano Biasi; Peter Bienstman; Simon Bilodeau; Wim Bogaerts; Fabian Böhm; Grace Brennan; Sonia M. Buckley; et al. (CoRR, 2025)

Training of physical neural networks. - Ali Momeni 002; Babak Rahmani; Benjamin Scellier; Logan G. Wright; Peter L. McMahon; Clara C. Wanjura; Yuhang Li; Anas Skalli; Natalia G. Berloff; Tatsuhiro Onodera; Ilker Oguz; Francesco Morichetti; et al. (Nat., 2025)