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 ...
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, ...
We analyzed Insight-HXMT data of the black hole X-ray binary MAXI J1348–630 during the type-B quasiperiodic oscillation (QPO) phase of its 2019 outburst. Using the Gaussian process method, we applied ...
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 ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
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