Bayes in Grenoble: Raphael Frisch

on the May 21, 2019

May, 21st at 2:00 pm
Raphael Frisch (MicroBayes, Inria) will talk about "Stochastic sampling machine for Bayesian inference". The event will take place on May, 21 at 2:00 pm at Inria.
Bayes in Grenoble is a new reading group on Bayesian statistical methods. The purpose of this group is to gather the Grenoble Bayesian community on a monthly basis around noteworthy papers. Those can equally focus on theory, methods, learning, applications, computations, etc, and can be seminal papers as well as recent preprints, as soon as they relate to Bayes.

The sessions last two hours: the presentation is followed by an informal moment where participants will enjoy cocktails and snacks offered by the Grenoble Alpes Data Institute.

The reading group is organised by Julyan Arbel and Florence Forbes. Feel free to contact them if you wish to attend/be added to the mailing list and/or give a talk. https://sites.google.com/view/bigseminar/accueil

React on social media: #BIGseminar

21 May 2019, Raphael Frisch (MicroBayes, Inria)

Stochastic sampling machine for Bayesian inference
Abstract

Compared to conventional processors, stochastic computing architectures have strong potential to speed up computation time and to reduce power consumption. In this talk, such an architecture, called Bayesian Machine (BM), dedicated to solving Bayesian inference problems will be presented. The BM uses stochastic computing and Bayesian models to compute the inference of a given probabilistic model. It calculates in parallel the inference over a searched variable. The machine will be explained using the example of SSL – Sound Source Localization. Different optimizations made on the BM to speed up the computation time and hence reduce the power consumption will be given.




Published on May 14, 2019

Practical informations

Lieu(x)


Room F107
INRIA Montbonnot Saint-Martin