get_adj_mats

Takes the alpha active path matrices for each layer of the LBBNN and converts
them to adjacency matrices so that they can be plotted with igraph.

internal

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>.

Lars Skaaret-Lund

LBBNN

Latent Binary Bayesian Neural Networks Using 'torch'

Aliaksandr Hubin

Eirik Høyheim

get_adj_mats function

<dl><dt>model</dt>
<dd>An instance of <code>LBBNN_Net</code> with input_skip enabled.</dd></dl>

Arguments

Obtain adjacency matrices for igraph plotting — get_adj_mats

<dl>

<dt>model</dt>
<dd>An instance of <code>LBBNN_Net</code> with input_skip enabled.</dd>

</dl>

get_adj_mats: Obtain adjacency matrices for `igraph` plotting

Description

Usage

Value

Arguments