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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
DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil ConditionsCode1
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionCode1
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
Empirical Models for Multidimensional Regression of Fission SystemsCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedCode1
Certified Graph UnlearningCode1
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein ApproximationCode1
Graph Neural Networks with Diverse Spectral FilteringCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Adaptive Universal Generalized PageRank Graph Neural NetworkCode1
Gaussian Process Regression With Interpretable Sample-Wise Feature WeightsCode1
GiNGR: Generalized Iterative Non-Rigid Point Cloud and Surface Registration Using Gaussian Process RegressionCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
Non-Stationary Gaussian Process Regression with Hamiltonian Monte CarloCode0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process RegressionCode0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
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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