Principled Training of Neural Networks with Direct Feedback Alignment. - Julien Launay; Iacopo Poli; Florent Krzakala (CoRR, 2019)

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. - Julien Launay; Iacopo Poli; François Boniface; Florent Krzakala (NeurIPS, 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)

Online Change Point Detection in Molecular Dynamics With Optical Random Features. - Amélie Chatelain; Giuseppe Luca Tommasone; Laurent Daudet; Iacopo Poli (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)

NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection. - Nicolas Keriven; Damien Garreau; Iacopo Poli (IEEE Trans. Signal Process., 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)

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 (HCS, 2021)

Photonic Differential Privacy with Direct Feedback Alignment. - Ruben Ohana; Hamlet Jesse Medina Ruiz; Julien Launay; Alessandro Cappelli; Iacopo Poli; Liva Ralaivola; Alain Rakotomamonjy (NeurIPS, 2021)

Contrastive Embeddings for Neural Architectures. - Daniel Hesslow; Iacopo Poli (CoRR, 2021)

ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. - Alessandro Cappelli; Julien Launay; Laurent Meunier; Ruben Ohana; Iacopo Poli (CoRR, 2021)

Is the Number of Trainable Parameters All That Actually Matters? - Amélie Chatelain; Amine Djeghri; Daniel Hesslow; Julien Launay; Iacopo Poli (CoRR, 2021)

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. - Alessandro Cappelli; Ruben Ohana; Julien Launay; Laurent Meunier; Iacopo Poli; Florent Krzakala (ICASSP, 2022)

PAGnol: An Extra-Large French Generative Model. - Julien Launay; E. L. Tommasone; Baptiste Pannier; François Boniface; Amélie Chatelain; Alessandro Cappelli; Iacopo Poli; Djamé Seddah (LREC, 2022)

RITA: a Study on Scaling Up Generative Protein Sequence Models. - Daniel Hesslow; Niccoló Zanichelli; Pascal Notin; Iacopo Poli; Debora S. Marks (CoRR, 2022)

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)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Nathan Cooper; Griffin Adams; et al. (CoRR, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Griffin Thomas Adams; Jeremy Howard; et al. (ACL (1), 2025)

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. - Adnan Shahid; Adrian Kliks; Ahmed Al-Tahmeesschi; Ahmed Elbakary; Alexandros Nikou; Ali Maatouk; Ali Mokh; Amirreza Kazemi; Antonio De Domenico; Athanasios Karapantelakis; Bo Cheng 001; Bo Yang 035; et al. (CoRR, 2025)