Iacopo Poli
Iacopo Poli
Lead ML Scientist, LightOn
Verified email at lighton.ai
Cited by
Cited by
NEWMA: a new method for scalable model-free online change-point detection
N Keriven, D Garreau, I Poli
IEEE Transactions on Signal Processing 68, 3515-3528, 2020
Principled Training of Neural Networks with Direct Feedback Alignment
J Launay, I Poli, F Krzakala
arXiv preprint arXiv:1906.04554, 2019
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
J Launay, I Poli, F Boniface, F Krzakala
Advances in Neural Information Processing Systems 33, 2020
Contrastive Embeddings for Neural Architectures
D Hesslow, I Poli
arXiv preprint arXiv:2102.04208, 2021
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
J Launay, I Poli, K Müller, I Carron, L Daudet, F Krzakala, S Gigan
arXiv preprint arXiv:2006.01475, 2020
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
D Hesslow, A Cappelli, I Carron, L Daudet, R Lafargue, K Müller, ...
arXiv preprint arXiv:2104.14429, 2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
A Cappelli, R Ohana, J Launay, L Meunier, I Poli, F Krzakala
arXiv preprint arXiv:2101.02115, 2021
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment
J Launay, I Poli, K Müller, G Pariente, I Carron, L Daudet, F Krzakala, ...
arXiv preprint arXiv:2012.06373, 2020
Online Change Point Detection in Molecular Dynamics With Optical Random Features
A Chatelain, GL Tommasone, L Daudet, I Poli
arXiv preprint arXiv:2006.08697, 2020
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