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3D Gaussian Splatting as Markov Chain Monte Carlo
Neural Information Processing SystemsWhile 3D Gaussian Splatting has recently become popular for neural rendering, current methods rely on carefully engineered cloning and splitting strategies for placing Gaussians, which can lead to poor-quality renderings, and reliance on a good ...
Shakiba Kheradmand +8 more
semanticscholar +1 more source
Gaussian Variables and Gaussian Processes
2016Gaussian random processes play an important role both in theoretical probability and in various applied models. We start by recalling basic facts about Gaussian random variables and Gaussian vectors. We then discuss Gaussian spaces and Gaussian processes, and we establish the fundamental properties concerning independence and conditioning in the ...
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Gaussian Process Regression for Materials and Molecules
Chemical Reviews, 2021Volker L Deringer +2 more
exaly
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
, 1991S. Johansen
semanticscholar +1 more source
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
, 1993N. Gordon +2 more
semanticscholar +1 more source
Orbital angular momentum of light and the transformation of Laguerre-Gaussian laser modes.
Physical Review A. Atomic, Molecular, and Optical Physics, 1992L. Allen +3 more
semanticscholar +1 more source
Robust text-independent speaker identification using Gaussian mixture speaker models
IEEE Transactions on Speech and Audio Processing, 1995D. Reynolds, R. Rose
semanticscholar +1 more source
Gaussian Processes in Machine Learning
Advanced Lectures on Machine Learning, 2003Carl E. Rasmussen
semanticscholar +1 more source