planarflowmodel

A simple and readable implementation of a 1-dimensional planar flow:
z_K = z_0 + u * h(wz_0 + b)

Variational flow-based methods for modeling rare events using
Kullback–Leibler (KL) divergence, normalizing flows, Girsanov change of
measure, and Freidlin–Wentzell action functionals. The package provides
tools for rare-event inference, minimum-action paths, and quasi-potential
computation in stochastic dynamical systems. Methods are based on
Rezende and Mohamed (2015) <doi:10.48550/arXiv.1505.05770>,
Girsanov (1960) <doi:10.1137/1105027>,
and Freidlin and Wentzell (2012, ISBN:978-0387955477).

Pietro Piu

rareflow

Variational Flow-Based Inference for Rare Events and Large
Deviations

planarflowmodel function

<dl><dt>u</dt>
<dd>Scalar parameter controlling the magnitude of the deformation.</dd>
<dt>w</dt>
<dd>Scalar parameter controlling the slope of the activation.</dd>
<dt>b</dt>
<dd>Scalar bias term.</dd></dl>

Arguments

Planar Normalizing Flow (1D) — planarflowmodel

<dl>

<dt>u</dt>
<dd>Scalar parameter controlling the magnitude of the deformation.</dd>


<dt>w</dt>
<dd>Scalar parameter controlling the slope of the activation.</dd>


<dt>b</dt>
<dd>Scalar bias term.</dd>

</dl>

planarflowmodel: Planar Normalizing Flow (1D)

Description

Usage

Value

Arguments

Details