IEEE

Gaussian Particle Filtering for Nonlinear Systems With Heavy-Tailed Noises: A Progressive Transform-Based Approach

Abstract: The Gaussian particle filter (GPF) is a type of particle filter that employs the Gaussian filter approximation as the proposal distribution. However, the linearization errors are introduced ...
EurekAlert!

New oceanic data assimilation system improves prediction accuracy

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions.
GitHub

Visualizing the Gaussian Puff Atmospheric Model

The puff package is primarily a visualization-focused package aimed at offering many ways to visualize emission dispersion plumes given some site-level information (e.g., wind conditions, emission ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
IEEE

Optimization of Generator Based on Gaussian Process Regression Model with Conditional Likelihood Lower Bound Search

Abstract: The noise that comes from finite element simulation often causes the model to fall into the local optimal solution and over fitting during optimization of generator. Thus, this paper ...