GitHub

Gap-averaged flow simulations with Gaussian Process regression.

The published wheels are currently not built with LAMMPS. Thus, running multiscale simulations with molecular dynamics is not possible with this quick installation. For the full functionality it is ...
IEEE

A Gaussian Process Regression Method to Nowcast Cloud-to-Ground Lightning From Remote Sensing and Numerical Weather Modeling Data

Abstract: The climate change of the last decades is causing an increase in the frequency of extreme event occurrences. Numerous studies confirm the link between extreme meteorological events and ...
IEEE

Identification of Nonlinear Dynamical Systems: When Deep Koopman Operator Meets Incremental Gaussian Process Regression

Abstract: This article proposes a deep Koopman-based identification method for nonlinear dynamical systems with modeling residuals learned recursively by incremental Gaussian process regression (IGPR) ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
GitHub

TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors

We present TSGS, a framework for high-fidelity transparent surface reconstruction from multi-views. (a) We introduce TransLab, a novel dataset for evaluating transparent object reconstruction. (b) ...