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GPR

Gaussian Process Regression

Papers

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Showing 1–50 of 270 papers

TitleStatusHype
Reservoir-enhanced Segment Anything Model for Subsurface DiagnosisCode5
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random FeaturesCode2
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Graph Neural Networks with Diverse Spectral FilteringCode1
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Certified Graph UnlearningCode1
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil ConditionsCode1
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process RegressionCode1
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedCode1
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationCode1
Empirical Models for Multidimensional Regression of Fission SystemsCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Sample-Constrained Black Box Optimization for Audio Personalization—0
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
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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