The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package on PyPI and claiming to have stolen data from hundreds of thousands of ...

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

Abstract: Gaussian process state-space models (GPSSMs) offer a principled framework for learning and inference in nonlinear dynamical systems with uncertainty quantification. However, existing GPSSMs ...

Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

When you’re getting into web development, you’ll hear a lot about Python and JavaScript. They’re both super popular, but they do different things and have their own quirks. It’s not really about which ...

Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...

Hi, I’m trying to set up GaussianObject on Ubuntu 22.04 with Python 3.10 and CUDA 11.8. Created a virtual environment Installed PyTorch 2.2.0 + CUDA 11.8 Installed ...