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GPR

Gaussian Process Regression

Papers

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Showing 26–50 of 270 papers

TitleStatusHype
Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc ExplainabilityCode0
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMaxCode0
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine LearningCode0
Multivariate Gaussian and Student-t Process Regression for Multi-output PredictionCode0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
Machine Learning Based Forward Solver: An Automatic Framework in gprMaxCode0
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric DataCode0
Kernel Mode Decomposition and programmable/interpretable regression networksCode0
Learning thermodynamically constrained equations of state with uncertaintyCode0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion PolicyCode0
A Geometric Analysis of Phase RetrievalCode0
Fusion of hyperspectral and ground penetrating radar to estimate soil moistureCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Fast Derivative Valuation from Volatility Surfaces using Machine LearningCode0
Approximate Inference for Fully Bayesian Gaussian Process RegressionCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Explainable Learning with Gaussian ProcessesCode0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular ReactionsCode0
JGPR: a computationally efficient multi-target Gaussian process regression algorithmCode0
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Data-Driven Stochastic AC-OPF using Gaussian ProcessesCode0
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