Iacopo Poli

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 22

Top Topics

Anonymized Data

Top Venues

Publications

Daniel Hesslow, Niccoló Zanichelli, Pascal Notin, Iacopo Poli, Debora S. Marks
RITA: a Study on Scaling Up Generative Protein Sequence Models. CoRR (2022)
Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients. ICASSP (2022)
Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah
PAGnol: An Extra-Large French Generative Model. LREC (2022)
Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Photonic co-processors in HPC: Using LightOn OPUs for Randomized Numerical Linear Algebra. HCS (2021)
Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone
LightOn Optical Processing Unit: Scaling-up AI and HPC with a Non von Neumann co-processor. CoRR (2021)
Julien Launay, E. L. Tommasone, Baptiste Pannier, François Boniface, Amélie Chatelain, Alessandro Cappelli, Iacopo Poli, Djamé Seddah
PAGnol: An Extra-Large French Generative Model. CoRR (2021)
Daniel Hesslow, Alessandro Cappelli, Igor Carron, Laurent Daudet, Raphaël Lafargue, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra. CoRR (2021)
Amélie Chatelain, Amine Djeghri, Daniel Hesslow, Julien Launay, Iacopo Poli
Is the Number of Trainable Parameters All That Actually Matters? CoRR (2021)
Daniel Hesslow, Iacopo Poli
Contrastive Embeddings for Neural Architectures. CoRR (2021)
Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS (2021)
Alessandro Cappelli, Julien Launay, Laurent Meunier, Ruben Ohana, Iacopo Poli
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. CoRR (2021)
Charles Brossollet, Alessandro Cappelli, Igor Carron, Charidimos Chaintoutis, Amélie Chatelain, Laurent Daudet, Sylvain Gigan, Daniel Hesslow, Florent Krzakala, Julien Launay, Safa Mokaadi, Fabien Moreau, Kilian Müller, Ruben Ohana, Gustave Pariente, Iacopo Poli, Giuseppe Luca Tommasone
LightOn Optical Processing Unit : Scaling-up AI and HPC with a Non von Neumann co-processor. HCS (2021)
Alessandro Cappelli, Ruben Ohana, Julien Launay, Laurent Meunier, Iacopo Poli, Florent Krzakala
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients. CoRR (2021)
Ruben Ohana, Hamlet J. Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Photonic Differential Privacy with Direct Feedback Alignment. CoRR (2021)
Amélie Chatelain, Giuseppe Luca Tommasone, Laurent Daudet, Iacopo Poli
Online Change Point Detection in Molecular Dynamics With Optical Random Features. CoRR (2020)
Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. NeurIPS (2020)
Nicolas Keriven, Damien Garreau, Iacopo Poli
NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection. IEEE Trans. Signal Process. 68 (2020)
Julien Launay, Iacopo Poli, Kilian Müller, Gustave Pariente, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment. CoRR (2020)
Julien Launay, Iacopo Poli, Kilian Müller, Igor Carron, Laurent Daudet, Florent Krzakala, Sylvain Gigan
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks. CoRR (2020)
Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures. CoRR (2020)
Julien Launay, Iacopo Poli, Florent Krzakala
Principled Training of Neural Networks with Direct Feedback Alignment. CoRR (2019)
Nicolas Keriven, Damien Garreau, Iacopo Poli
NEWMA: a new method for scalable model-free online change-point detection. CoRR (2018)