BIASlab

ai_workshop_2020

Code to run potential based agents and generate figures for the submission to the 2020 Workshop on Active Inference

nsi-silverbox

Online system identification in Silverbox by minimising free energy

ACC2022-vmpNARMAX

Experiments and derivations for ACC2022 paper on variational message passing for online NARMAX identification.

CDC-2022

Experiments and derivations for CDC2022 paper on message passing-based inference for NARMAX system identification.

ExtendedVMP

Experiments for numerical approximations to VMP

IWAI2020-onlinesysid

Code and experiments for IWAI 2020 submission on online system identification

LAR

AR extension of ForneyLab.jl

NARX

ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.

PGM2022-SourceSeparationNAR

Experiments and code of the paper "Online Single-Microphone Source Separation using Non-Linear Autoregressive Models"

ReactiveInferencePendulum

A small demonstration of reactive Bayesian inference for pendulum dynamics

SiPS2022-EfficientModelEvidenceComputation

Experiments and derivations for SiPS2022 paper "Efficient model evidence computation in tree-structured factor graph"

TVAR_FFG

Time-varying autoregressive models in Forney-Style Factor Graphs

efe_lgds

Experiments for the paper "On Epistemics in Expected Free Energy for linear Gaussian state-space models"

AIDA-app

AIDA-data

ARMA

ForneyLab.jl factor node for an autoregressive model with moving average.

EUSIPCO2022-HybridInferenceInvertibleNeuralNetworks

ISIT-2020-HAR

Proof of concept for online VMP for HAR models.

ISIT_2020_HGF

L4DC-2020

Proof of concept for online hybrid message passing inference for AR-HGF.

METADATA.jl

Metadata for registered Julia packages including private BIASlab packages,

NARMAX

ForneyLab.jl factor node for a nonlinear autoregressive model with moving average and exogenous input.

Semih-EUSIPCO-2019

Experiments of EUSIPCO-2019 conference paper

SGCV

Switching Gaussian Controlled Variance

SSP2021-VariationalLogPowerTracking

Derivations and experiments of the "Variational Log-Power Spectral Tracking for Acoustic Signals" paper, accepted to 2021 IEEE Statistical Signal Processing Workshop (SSP).

StochasticVMP

Experiments for "Probabilistic Programming with Stochastic Variational Message Passing"

SwAR

Switching Autoregressive Model