IEEE

Incremental Heteroscedastic Gaussian Process Regression and Its Applications in Model Predictive Control

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 ...
IEEE

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems

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 ...
Cosmopolitan

All Your Dip Powder Questions Answered, Like if They’re Better Than Gels or if They Damage Nails

After one too many rants to my best friend about my stubby, nail-glue–covered fingers (I’m a press-on nail fiend), she finally told me to book a dip powder manicure—the nail polish upgrade basically ...
GitHub

$AG^2aussian$: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing

The installation of AG2aussian is similar to 3D Gaussian Splatting. Our default, provided install method is based on Conda package and environment management: conda create -n ag2seg python=3.11 conda ...
GitHub

Efficient Self-Supervised Pose-Free 3D Gaussian Splatting

SPFSplatV2 efficiently leverages masked attention to predict target poses while simultaneously predicting 3D Gaussians from unposed sparse images, without requiring ground-truth poses during either ...