Kernel computations from large-scale random features obtained by Optical Processing Units

22 October 2019

Papers citing "Kernel computations from large-scale random features obtained by Optical Processing Units"

5 / 5 papers shown

Title
Improvement of image classification by multiple optical scattering X. Gao Yi Li Y. Qiu Bangning Mao Miaogen Chen Y. Meng Chun-liu Zhao Juan Kang Yong Guo Changyu Shen 27 5 0 12 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli Julien Launay Laurent Meunier Ruben Ohana Iacopo Poli AAML 24 4 0 06 Jul 2021
Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra Daniel Hesslow Alessandro Cappelli I. Carron L. Daudet Raphaël Lafargue Kilian Muller Ruben Ohana Gustave Pariente Iacopo Poli 21 4 0 29 Apr 2021
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 165 0 21 Feb 2020