Factored inference for discrete-continuous smoothing and mapping.
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Updated
Feb 12, 2025 - C++
Factored inference for discrete-continuous smoothing and mapping.
General purpose C++ library for managing discrete factor graphs
C++ based implementation of StatNLP framework
C++ libraries for Bayesian inference with interacting particle systems
Structure learning for Bayesian networks using the CCDr algorithm.
Gene network reconstruction using global-local shrinkage priors
Implementation library for Hypergraph Simultaneous Generators.
R package for likelihood estimation and inference of a directed acyclic graph.
This is the code for our publication Inferring Latent States in a Network Influenced by Neighbor Activities: An Undirected Generative Approach, IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, 2017
C++ implementation of the NoRELAX methods presented in Continuous Relaxation of MAP Inference: A Nonconvex Perspective (CVPR 2018)
Image labeling with graphical models
This is the repository for the C++ code of Bayesian Graphical Regression with Birth-Death Markov Process by Yuen et al.
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