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GPR

Gaussian Process Regression

Papers

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Showing 26–50 of 270 papers

TitleStatusHype
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion PolicyCode0
Fast Derivative Valuation from Volatility Surfaces using Machine LearningCode0
A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems—0
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach—0
A fast sound power prediction tool for genset noise using machine learning—0
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration—0
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular ReactionsCode0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Bayesian full waveform inversion with sequential surrogate model refinement—0
Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open DatasetsCode0
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling—0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Distributionally Robust Active Learning for Gaussian Process Regression—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression—0
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G NetworksCode0
Advanced technology in railway track monitoring using the GPR Technique: A Review—0
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