238 citations · 244 across the 3 of their papers we have counts for
7 papers
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
Julien Launay, Iacopo Poli, Kilian Müller +4
As neural networks grow larger and more complex and data-hungry, training costs are skyrocketing. Especially when lifelong learning is necessary, such as in recommender systems or…
Kernel computations from large-scale random features obtained by Optical Processing Units
Ruben Ohana, Jonas Wacker, Jonathan Dong +4
Approximating kernel functions with random features (RFs)has been a successful application of random projections for nonparametric estimation. However, performing random projection…
Fast Optical System Identification by Numerical Interferometry
Sidharth Gupta, Rémi Gribonval, Laurent Daudet +1
We propose a numerical interferometry method for identification of optical multiply-scattering systems when only intensity can be measured. Our method simplifies the calibration of…
Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta, Rémi Gribonval, Laurent Daudet +1
In this paper we tackle the problem of recovering the phase of complex linear measurements when only magnitude information is available and we control the input. We are motivated b…
Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer +5
Machine learning encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent…
Minimizing the waiting time for a one-way shuttle service
Laurent Daudet, Frédéric Meunier
Consider a terminal in which users arrive continuously over a finite period of time at a variable rate known in advance. A fleet of shuttles has to carry the users over a fixed tri…