Abstract: Inducing-point-based sparse variational approximation scales Gaussian process models to large datasets but tends to overestimate observation noise and underestimate posterior variance.

This repository contains the Python code accompanying the preprint "Sparse Techniques for Regression in Deep Gaussian Processes" introducing the STRIDE algorithm. The ...

VLM-Instruct-FastGS enhances 3D Gaussian Splatting by incorporating semantic guidance from Vision-Language Models (VLMs) into the densification process. Under the same sparse initialization and within ...