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Dmitry V. Bagaev

PhD candidate, TU Eindhoven

Interests

  • Bayesian Machine Learning
  • Software Engineering
  • Probabilistic Programming

Education

  • MSc in Mathematics and System Programming, 2019

    Lomonosov Moscow State University

  • BSc in Mathematics and System Programming, 2017

    Lomonosov Moscow State University

Biography

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.

Publications

Reactive Message Passing for Scalable Bayesian Inference

Dmitry V. Bagaev, Bert de Vries
Scientific Programming
May, 2023
Details PDF Code arXiv

RxInfer: A Julia package for reactive real-time Bayesian inference

Dmitry V. Bagaev, Albert Podusenko, Bert de Vries
JOSS
April, 2023
Details PDF Code JOSS

Message Passing-based Inference in Switching Autoregressive Models

Albert Podusenko, Bart van Erp, Dmitry V. Bagaev, Ismail Senoz, Bert de Vries
EUSIPCO 2022
September, 2022
Details PDF Code IEEE EURASIP

ReactiveMP.jl: A Julia package for reactive variational Bayesian inference

Dmitry V. Bagaev, Albert Podusenko, Bart van Erp, Bert de Vries
Software Impacts
May, 2022
Details Code Software Impacts

ReactiveMP.jl: A Julia Package for Reactive Message Passing-based Bayesian Inference

Dmitry V. Bagaev, Bert de Vries
JuliaCon 2021
January, 2022
Details PDF Code JuliaCon 2021 Proceedings Zenodo

Message Passing-Based Inference in the Gamma Mixture Model

Albert Podusenko, Bart van Erp, Dmitry V. Bagaev, Ismail Senoz, Bert de Vries
MLSP 2021
October, 2021
Details PDF Code IEEE

Variational Message Passing and Local Constraint Manipulation in Factor Graphs

Ismail Senoz, Thijs van de Laar, Dmitry V. Bagaev, Bert de Vries
Entropy
June, 2021
Details PDF

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