Paper-Conference

Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference

Stacking probabilistic building blocks into deeper architectures typically breaks closed-form inference. We show that closed-form …

Mykola Lukashchuk, Kyrylo Yemets, Wouter Kouw, Dmitry Bagaev, İsmail Şenöz, Jeff Beck, Bert de Vries

Inter-Domain Gaussian Processes with Arbitrary Mean Functions in Factor Graphs

The modeling flexibility and expressivity of inter-domain Gaussian processes, enabled by applying arbitrary linear operators to a …

Alex Ledbetter, Hoang Minh Huu Nguyen, Lucas C. Van Laake, Irene Kuling, Yoeri Van De Burgt, Thijs van de Laar

Spike-based Belief Propagation in Nonlinear Dynamical Systems

This paper presents a Bayesian control framework that integrates spike-based dynamics with probabilistic inference for adaptive …

Sepideh Adamiat, Hongye Wang, Wouter Kouw, Bert de Vries

Spike-Timing-Dependent Plasticity for Bernoulli Message Passing

Bayesian inference provides a principled framework for understanding brain function, while neural activity in the brain is inherently …

Sepideh Adamiat, Wouter Kouw, Bert de Vries

The Quotient Bayesian Learning Rule

This paper introduces the Quotient Bayesian Learning Rule, an extension of natural-gradient Bayesian updates to probability models …

Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten, İsmail Şenöz, Bert de Vries

Active Inference is a Subtype of Variational Inference

Automated decision-making under uncertainty requires balancing exploitation and exploration. Classical methods treat these separately …

Wouter Nuijten, Mykola Lukashchuk

A Message Passing Realization of Expected Free Energy Minimization

We present a message passing approach to Expected Free Energy (EFE) minimization on factor graphs, based on the theory introduced in …

Wouter Nuijten, Mykola Lukashchuk, Thijs van de Laar, Bert de Vries

Message passing-based inference in an autoregressive active inference agent

We present the design of an autoregressive active inference agent in the form of message passing on a factor graph.

Wouter Kouw, Tim Nisslbeck, Wouter Nuijten

Message passing-based inference in an autoregressive active inference agent

ExponentialFamilyManifolds.jl: Representing exponential families as Riemannian manifolds

ExponentialFamilyManifolds.jl implements exponential family natural parameter spaces as Riemannian manifolds, enabling geometric …

Mykola Lukashchuk, Dmitry Bagaev, Albert Podusenko, İsmail Şenöz, Bert de Vries

Online Bayesian system identification in multivariate autoregressive models via message passing

We propose a recursive Bayesian estimation procedure for multivariate autoregressive models with exogenous inputs based on message passing in a factor graph

Tim Nisslbeck, Wouter Kouw