4 code implementations • ICLR 2021 • Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin
A standard solution is to train networks with Quantization Aware Training, where the weights are quantized during training and the gradients approximated with the Straight-Through Estimator.
no code implementations • 5 Feb 2016 • Nicolas Tremblay, Gilles Puy, Remi Gribonval, Pierre Vandergheynst
Spectral clustering has become a popular technique due to its high performance in many contexts.
no code implementations • 29 Sep 2015 • Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Remi Gribonval, Pierre Vandergheynst
We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm.
Social and Information Networks Numerical Analysis
no code implementations • NeurIPS 2013 • Remi Gribonval, Pierre Machart
While these may seem radically different approaches, recent results have shown that, in the context of additive white Gaussian denoising, the Bayesian conditional mean estimator is always the solution of a penalized regression problem.