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GPR

Gaussian Process Regression

Papers

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Showing 251–260 of 270 papers

TitleStatusHype
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine LearningCode0
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular ReactionsCode0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion PolicyCode0
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarkerCode0
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc ExplainabilityCode0
Predicting molecular dipole moments by combining atomic partial charges and atomic dipolesCode0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
Self-Distillation for Gaussian Process Regression and ClassificationCode0
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