Abstract: 3D Gaussian Splatting (3DGS) has recently revolutionized novel view synthesis and provided a new paradigm for photorealistic Simultaneous Localization and Mapping (SLAM). However, current ...

Abstract: Gaussian process regression (GPR) models are becoming increasingly tightly integrated into robotic systems, particularly in the context of robot model predictive control (MPC) operating in ...

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 ...

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 ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

ABSTRACT: This study examines the connections among board diversity, strategic innovation, and corporate performance. Based on recent empirical findings from various geographical contexts and ...

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 ...

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 ...