HackerNoonAug 26, 2025
Experiments show LIFAGU achieves near‑zero error vs. ground truth and speeds up inference via lifting, generalizing colour passing to unknown factors. https://hackernoon.com/when-graphs-have-gaps-lifagu-finds-symmetry-and-speeds-up-inference #probabilisticgraphicalmodels
When Graphs Have Gaps: LIFAGU Finds Symmetry and Speeds Up Inference | HackerNoon

Experiments show LIFAGU achieves near‑zero error vs. ground truth and speeds up inference via lifting, generalizing colour passing to unknown factors.

HackerNoonAug 26, 2025
The LIFAGU algorithm transfers potentials from known to unknown factors via structural symmetry, generalizing colour passing and enabling lifted inference. https://hackernoon.com/when-some-factors-go-missing-lifagu-finds-the-symmetries #probabilisticgraphicalmodels
When Some Factors Go Missing, LIFAGU Finds the Symmetries | HackerNoon

The LIFAGU algorithm transfers potentials from known to unknown factors via structural symmetry, generalizing colour passing and enabling lifted inference.

HackerNoonAug 25, 2025
This paper introduces LIFAGU, a generalization of colour passing to lift factor graphs with unknown factors, enabling exact probabilistic inference. https://hackernoon.com/lifagu-lifted-probabilistic-inference-in-factor-graphs-with-unknown-factors #probabilisticgraphicalmodels
LIFAGU: Lifted Probabilistic Inference in Factor Graphs with Unknown Factors | HackerNoon

This paper introduces LIFAGU, a generalization of colour passing to lift factor graphs with unknown factors, enabling exact probabilistic inference.

Dominic BoutetJan 31, 2023

I am taking a class on Probabilistic Graphical Models (PGMs) this semester and we have a final project which can be a breadth lit review on a topic or a research project.

Does anyone know about some cool work that combined PGM or PGM methods (e.g., inference, parameter estimation, learning with partial observations, etc.) with #ComputationalNeuroscience or maybe #DecisionMaking models? Ideally with a focus on methods, algorithms, or simulations.

I'm looking for some starting point to dig through the literature a bit and see if anything catches my attention.

Thanks in advance!

#ProbabilisticGraphicalModels #Neuroscience #ExactInference #VariationalInference #CausalInference #SamplingInference #MCMC #ParameterEstimation #StructureLearning #MarkovNetworks #BayesNetworks