Message-Passing Algorithms

Pushing the Boundaries of Probabilistic Inference through Message Contraction Optimization

A key aspect of intelligent systems is their capacity to reason under uncertainty. This task involves calculating probabilities of relevant variables while considering any …

Martin Roa Villescas

• Jul 24, 2024 • 1 min read

Probabilistic Inference

Scaling Probabilistic Inference through Message Contraction Optimization

Within the realm of probabilistic graphical models, message-passing algorithms offer a powerful framework for efficient inference. When dealing with discrete variables, these …

Martin Roa Villescas

• Jul 26, 2023 • 1 min read

JuliaCon

JunctionTrees.jl - Efficient Bayesian Inference in Discrete Graphical Models

JunctionTrees.jl implements the junction tree algorithm, an efficient method to perform Bayesian inference in discrete probabilistic graphical models. It exploits Julia's …

Martin Roa Villescas

• Jul 27, 2022 • 1 min read

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Message-Passing Algorithms

Pushing the Boundaries of Probabilistic Inference through Message Contraction Optimization

Scaling Probabilistic Inference through Message Contraction Optimization

JunctionTrees.jl - Efficient Bayesian Inference in Discrete Graphical Models