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Scalable marginalization of correlated latent variables with
  applications to learning particle interaction kernels

Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels

16 March 2022
Mengyang Gu
Xubo Liu
X. Fang
Sui Tang
ArXivPDFHTML

Papers citing "Scalable marginalization of correlated latent variables with applications to learning particle interaction kernels"

4 / 4 papers shown
Title
The inverse Kalman filter
The inverse Kalman filter
X. Fang
Mengyang Gu
37
0
0
14 Jul 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
278
5,695
0
05 Dec 2016
Local Gaussian process approximation for large computer experiments
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
129
392
0
02 Mar 2013
Factor modeling for high-dimensional time series: Inference for the
  number of factors
Factor modeling for high-dimensional time series: Inference for the number of factors
Clifford Lam
Q. Yao
58
479
0
04 Jun 2012
1