Source code for the paper "Efficient Detection of Commutative Factors in Factor Graphs" (PGM 2024)
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Updated
Jul 15, 2024 - Julia
Source code for the paper "Efficient Detection of Commutative Factors in Factor Graphs" (PGM 2024)
Factor graphs based on IndexedGraphs.jl
Discrete probability distributions factorized on a one-dimensional chain
Source code for the paper "Colour Passing Revisited: Lifted Model Construction with Commutative Factors" (AAAI 2024)
ForneyLab.jl factor node for a latent autoregressive model with exogenous input.
Designing and training probabilistic graphical models (MATLAB).
This project enables transforming HMM-A to factor graph to be able to be used to calculate probabilities with libDai, a C++ library, created for approximate inference in graphical models.
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
Source code for the paper "Efficient Detection of Exchangeable Factors in Factor Graphs" (FLAIRS 2024)
ForneyLab.jl factor node for generalised filtering with exogenous input.
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
Proof of concept for online hybrid message passing inference for AR-HGF.
Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)
ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.
GTSAM <-> mrpt-serialization bridge
Clean Factor Graphs in Python
Schedule-free variational message passing on factor graphs
General purpose C++ library for managing discrete factor graphs
The junction tree algorithm for (discrete) factor graphs
Combined Learning from Demonstration and Motion Planning
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