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GPR

Gaussian Process Regression

Papers

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Showing 1–50 of 270 papers

TitleStatusHype
Sample-Constrained Black Box Optimization for Audio Personalization—0
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Trustworthy Prediction with Gaussian Process Knowledge ScoresCode0
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression—0
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
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration—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
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
Reservoir-enhanced Segment Anything Model for Subsurface DiagnosisCode5
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
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling—0
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
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics—0
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials—0
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments—0
GPR Full-Waveform Inversion through Adaptive Filtering of Model Parameters and Gradients Using CNN—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models—0
Joint multifractality in the cross-correlations between grains \& oilseeds indices and external uncertainties—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
TVG: A Training-free Transition Video Generation Method with Diffusion Models—0
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification—0
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?—0
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random FeaturesCode2
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
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