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GPR
Gaussian Process Regression
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Showing 51–60 of 270 papers
Title
Date
Tasks
Status
Hype
Score
Machine Learning Based Forward Solver: An Automatic Framework in gprMax
Nov 23, 2021
BIG-bench Machine Learning
Dimensionality Reduction
Code
Code Available
0
5
Modeling Epidemic Spread: A Gaussian Process Regression Approach
Dec 14, 2023
GPR
regression
Code
Code Available
0
5
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning
May 31, 2022
GPR
Code
Code Available
0
5
Data-Driven Stochastic AC-OPF using Gaussian Processes
Feb 17, 2024
Gaussian Processes
GPR
Code
Code Available
0
5
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Aug 18, 2015
GPR
regression
Code
Code Available
0
5
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation
Jan 24, 2021
Bayesian Optimization
GPR
Code
Code Available
0
5
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials
Dec 31, 2020
GPR
Code
Code Available
0
5
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Dec 8, 2016
GPR
valid
Code
Code Available
0
5
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects
Mar 10, 2022
GPR
Model Discovery
Code
Code Available
0
5
Explainable Learning with Gaussian Processes
Mar 11, 2024
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Code
Code Available
0
5
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