In this letter, we propose a Gaussian mixture model (GMM)-based channel estimator which is learned on imperfect training data, i.e., the training data are solely comprised of noisy and sparsely ...

We encode the data with a Gaussian Mixture Model in the parameter space of probabilistic movement primitives, after performing dimensionality reduction on such parameter space. We append the ...

Ascot clerk of the course Chris Stickels predicts the five-day royal meeting will start on a mixture of good and good to firm ground. Stickels said on Tuesday: "We're good, good to firm in places. We ...

This is achieved through the custom Python class gaussian_state, whose constructor arguments are. R, V --- numpy.ndarray mean quadrature vector and covariance matrix for the desired gaussian states; ...

This project reimplements the core ideas of 3D Gaussian Splatting in a clean, minimalist Python codebase using NVIDIA Warp. It runs on both CPU and GPU with no CUDA setup, focuses on clarity and ...