Paper-Conference

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

Improved Depth Estimation of Bayesian Neural Networks

This paper proposes improvements over earlier work by Nazareth and Blei (2022) for estimating the depth of Bayesian neural networks. …

Bart van Erp, Bert de Vries

Riemannian Black Box Variational Inference

We introduce Riemannian Black Box Variational Inference (RBBVI) for scenarios lacking gradient information of the model with respect to …

Mykola Lukashchuk, Wouter Nuijten, Bvdimitri, İsmail Şenöz, Bert de Vries

Coupled autoregressive active inference agents for control of multi-joint dynamical systems

We propose an active inference agent to identify and control a mechanical system with multiple bodies connected by joints. This agent …

Tim Nisslbeck, Wouter Kouw

Message Passing-based Bayesian Control of a Cart-Pole System

We describe a Bayesian controller for a cart-pole system, a well-known benchmark in control theory. The cart-pole system is …

Sepideh Adamiat, Wouter Kouw, Bart van Erp, Bert de Vries

Online Structure Learning with Dirichlet Processes through Message Passing

Generative or probabilistic modeling is crucial for developing intelligent agents that can reason about their environment. However, …

Bart van Erp, Wouter Nuijten, Bert de Vries

Q-conjugate Message Passing for Efficient Bayesian Inference

Bayesian inference in nonconjugate models such as Bayesian Poisson regression often relies on computationally expensive Monte Carlo …

Mykola Lukashchuk, İsmail Şenöz, Bert de Vries

Reactive Environments for Active Inference Agents with RxEnvironments.jl

Active Inference is a framework that emphasizes the interaction between agents and their environment. While the framework has seen …

Wouter Nuijten, Bert de Vries