Dmitry Bagaev
My research interests lie in the fields of computers science, machine learning and probabilistic programming. Currently I am a PhD candidate in the SPS group of Electrical Engineering department in Eindhoven University of Technology. I’m working on a high-performant implementation of message passing-based Bayesian inference package in the Julia programming language. My research project focuses on Signal Processing and Active inference applications, but is also aimed to expand the scope of possible applications for message passing in general.
Session
We present RxInfer.jl, which is a Julia package for automated and fast Bayesian inference in a probabilistic model through reactive message passing on a factor graph representation of that model. RxInfer.jl unites different Julia packages and forms a user-friendly ecosystem for efficient real-time Bayesian processing of infinite data streams.