GPstuff - Gaussian process models for Bayesian analysis

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

Matlab interface to Stan, a package for Bayesian inference

Bayesian Data Analysis demos for Matlab/Octave

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

A Matlab toolbox for sampling inverse problems with complex priors

Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches

[Signal Processing 2020] Official implementation for "Bayesian Fusion for Infrared and Visible Images"

Bayesian Statistics Guide

An efficient and robust probabilistic approach for fitting superellipse to point clouds.

A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.

replication code for „Forecasting with Shadow-Rate VARs“ by Carriero, Clark, Marcellino and Mertens

Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI

A MAP-MRF Framework for Image Denoising

[TPAMI 2024] Multidimensional Ellipsoid Fitting

Normal Influence Diagram Matlab Code for Kalman Filtering

Bayasian Sequential Simulation (BSS)

Bayesian Orthogonal Matching Pursuit (Bernoulli-Gaussian)

Bayesian zero-constrained regression with compositional covariates

TrueSkill extension accommodating score-based match outcomes and home field advantage