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GPR

Gaussian Process Regression

Papers

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Showing 1–25 of 270 papers

TitleStatusHype
Reservoir-enhanced Segment Anything Model for Subsurface DiagnosisCode5
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random FeaturesCode2
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionCode1
Empirical Models for Multidimensional Regression of Fission SystemsCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process RegressionCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationCode1
Certified Graph UnlearningCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil ConditionsCode1
Graph Neural Networks with Diverse Spectral FilteringCode1
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
Fast Derivative Valuation from Volatility Surfaces using Machine LearningCode0
Explainable Learning with Gaussian ProcessesCode0
Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open DatasetsCode0
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