Other packages > Find by keyword >

LBBNN  

Latent Binary Bayesian Neural Networks Using 'torch'
View on CRAN: Click here


Download and install LBBNN package within the R console
Install from CRAN:
install.packages("LBBNN")

Install from Github:
library("remotes")
install_github("cran/LBBNN")

Install by package version:
library("remotes")
install_version("LBBNN", "0.1.4")



Attach the package and use:
library("LBBNN")
Maintained by
Lars Skaaret-Lund
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-01
Latest Update: 2025-12-01
Description:
Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
How to cite:
Lars Skaaret-Lund (2025). LBBNN: Latent Binary Bayesian Neural Networks Using 'torch'. R package version 0.1.4, https://cran.r-project.org/web/packages/LBBNN. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.1 (2025-12-01 15:10), 0.1.2 (2025-12-10 10:50), 0.1.3 (2026-01-07 22:20)
Other packages that cited LBBNN R package
View LBBNN citation profile
Other R packages that LBBNN depends, imports, suggests or enhances
Complete documentation for LBBNN
Functions, R codes and Examples using the LBBNN R package
Full LBBNN package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gena  
Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
plyr  
Tools for Splitting, Applying and Combining Data
A set of tools that solves a common set of problems: you need to break a big problem down into mana ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

26,293

R Packages

225,784

Dependencies

70,376

Author Associations

26,294

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA