Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 2
Gaussian Process
Papers archive 2025-07-28
archive papers tagged: 2,473 · with a code link: 734 · where Syntology ran a sample: 155 (130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (155 of 2,473 tagged: 130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument)
Page 2 of 25: papers 101 to 200 of 2,473, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model 9 Mar 2025 · 0 repositories · arXiv:2503.06381
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BARK: A Fully Bayesian Tree Kernel for Black-box Optimization 7 Mar 2025 · 0 repositories · arXiv:2503.05574
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Bayesian Graph Traversal 7 Mar 2025 · 0 repositories · arXiv:2503.05963
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Riemann²: Learning Riemannian Submanifolds from Riemannian Data 7 Mar 2025 · 0 repositories · arXiv:2503.05540
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Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes 6 Mar 2025 · 0 repositories · arXiv:2503.05031
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A New ∼5σ Tension at Characteristic Redshift from DESI-DR1 BAO and DES-SN5YR Observations 4 Mar 2025 · 0 repositories · arXiv:2503.02880
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Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model 4 Mar 2025 · 1 repository · arXiv:2503.02978
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Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models 4 Mar 2025 · 1 repository · arXiv:2503.02630
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From Target Tracking to Targeting Track -- Part III: Stochastic Process Modeling and Online Learning 3 Mar 2025 · 0 repositories · arXiv:2503.05799
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Gaussian Process Surrogate Models for Efficient Estimation of Structural Response Distributions and Order Statistics 3 Mar 2025 · 0 repositories · arXiv:2503.01242
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An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation 28 Feb 2025 · 0 repositories · arXiv:2503.00213
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Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction 28 Feb 2025 · 0 repositories · arXiv:2502.21292
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Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra 27 Feb 2025 · 1 repository · arXiv:2502.19824
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Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates 26 Feb 2025 · 1 repository · arXiv:2502.19550
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Modeling Neural Activity with Conditionally Linear Dynamical Systems 25 Feb 2025 · 1 repository · arXiv:2502.18347
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Near-Optimal Approximations for Bayesian Inference in Function Space 25 Feb 2025 · 1 repository · arXiv:2502.18279
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Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity 24 Feb 2025 · 1 repository · arXiv:2502.16763
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On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach 24 Feb 2025 · 0 repositories · arXiv:2502.17042
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Gaussian Process Regression for Improved Underwater Navigation 23 Feb 2025 · 0 repositories · arXiv:2502.16510
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TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data 22 Feb 2025 · 1 repository · arXiv:2502.16294
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Optimizing Product Provenance Verification using Data Valuation Methods 21 Feb 2025 · 0 repositories · arXiv:2502.15177
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An Adversarial Analysis of Thompson Sampling for Full-information Online Learning: from Finite to Infinite Action Spaces 20 Feb 2025 · 0 repositories · arXiv:2502.14790
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Provable Quantum Algorithm Advantage for Gaussian Process Quadrature 20 Feb 2025 · 1 repository · arXiv:2502.14467
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Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference 19 Feb 2025 · 0 repositories · arXiv:2502.13905
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Warm Starting of CMA-ES for Contextual Optimization Problems 18 Feb 2025 · 0 repositories · arXiv:2502.12555
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Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems 17 Feb 2025 · 0 repositories · arXiv:2502.11506
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Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design 17 Feb 2025 · 0 repositories · arXiv:2502.11369
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Spectral structure learning for clinical time series 17 Feb 2025 · 1 repository · arXiv:2502.11680
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Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression 13 Feb 2025 · 0 repositories · arXiv:2502.08882
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Understanding High-Dimensional Bayesian Optimization 13 Feb 2025 · 0 repositories · arXiv:2502.09198
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Recurrent Memory for Online Interdomain Gaussian Processes 12 Feb 2025 · 0 repositories · arXiv:2502.08736
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A physics-based data-driven model for CO₂ gas diffusion electrodes to drive automated laboratories 10 Feb 2025 · 0 repositories · arXiv:2502.06323
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Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression 10 Feb 2025 · 0 repositories · arXiv:2502.06672
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Few-shot_LLM_Synthetic_Data_with_Distribution_Matching 9 Feb 2025 · 1 repository · arXiv:2502.08661
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Distributionally Robust Model Predictive Control with Mixture of Gaussian Processes 8 Feb 2025 · 0 repositories · arXiv:2502.05448
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Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory 8 Feb 2025 · 0 repositories · arXiv:2502.05411
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Tighter sparse variational Gaussian processes 7 Feb 2025 · 0 repositories · arXiv:2502.04750
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Musical Score Following using Statistical Inference 6 Feb 2025 · 1 repository · arXiv:2502.10426
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Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation 4 Feb 2025 · 0 repositories · arXiv:2502.02463
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Gaussian processes for dynamics learning in model predictive control 4 Feb 2025 · 0 repositories · arXiv:2502.02310
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GP-GS: Gaussian Processes for Enhanced Gaussian Splatting 4 Feb 2025 · 1 repository · arXiv:2502.02283
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Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems 4 Feb 2025 · 0 repositories · arXiv:2502.02512
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Local minima of the empirical risk in high dimension: General theorems and convex examples 4 Feb 2025 · 0 repositories · arXiv:2502.01953
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Robust and Conjugate Spatio-Temporal Gaussian Processes 4 Feb 2025 · 1 repository · arXiv:2502.02450Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Adaptive Observation Cost Control for Variational Quantum Eigensolvers 3 Feb 2025 · 1 repository · arXiv:2502.01704Syntology official (archive's flag): 6 ran · 9 ran (of which 4 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified (of 15 harvested samples) · 15 pointer-only (licence)
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Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression 29 Jan 2025 · 0 repositories · arXiv:2501.17627
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Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test 29 Jan 2025 · 1 repository · arXiv:2501.18059Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples)
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A machine-learning optimized vertical-axis wind turbine 27 Jan 2025 · 0 repositories · arXiv:2501.17886
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Gaussian Process-Based Prediction and Control of Hammerstein-Wiener Systems 27 Jan 2025 · 0 repositories · arXiv:2501.15849
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THOR: A Generic Energy Estimation Approach for On-Device Training 27 Jan 2025 · 0 repositories · arXiv:2501.16397
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Dense-SfM: Structure from Motion with Dense Consistent Matching 24 Jan 2025 · 0 repositories · arXiv:2501.14277
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Co-Learning Bayesian Optimization 23 Jan 2025 · 0 repositories · arXiv:2501.13332
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EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems 23 Jan 2025 · 0 repositories · arXiv:2501.14107
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Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G Networks 23 Jan 2025 · 1 repository · arXiv:2501.13500
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Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization 23 Jan 2025 · 0 repositories · arXiv:2501.14118
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Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks 23 Jan 2025 · 0 repositories · arXiv:2501.14012
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An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial data 20 Jan 2025 · 1 repository · arXiv:2501.11448
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Issues with Neural Tangent Kernel Approach to Neural Networks 19 Jan 2025 · 1 repository · arXiv:2501.10929
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On the convergence rate of noisy Bayesian Optimization with Expected Improvement 16 Jan 2025 · 0 repositories · arXiv:2501.09262
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Modeling All Response Surfaces in One for Conditional Search Spaces 8 Jan 2025 · 0 repositories · arXiv:2501.04260
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Neural Parameter Estimation with Incomplete Data 8 Jan 2025 · 2 repositories · arXiv:2501.04330
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Bayesian Model Parameter Learning in Linear Inverse Problems with Application in EEG Focal Source Imaging 7 Jan 2025 · 0 repositories · arXiv:2501.13109
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Efficient Graph Condensation via Gaussian Process 5 Jan 2025 · 1 repository · arXiv:2501.02565
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Multi-view Bayesian optimisation in reduced dimension for engineering design 2 Jan 2025 · 0 repositories · arXiv:2501.01552
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On the Implementation of a Bayesian Optimization Framework for Interconnected Systems 1 Jan 2025 · 1 repository · arXiv:2501.00967
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Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes 30 Dec 2024 · 0 repositories · arXiv:2412.20918
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Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes 29 Dec 2024 · 1 repository · arXiv:2412.20375Syntology official (archive's flag): 4 ran · 4 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness 28 Dec 2024 · 0 repositories · arXiv:2412.20173
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Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images 28 Dec 2024 · 1 repository · arXiv:2501.00053
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On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise 25 Dec 2024 · 0 repositories · arXiv:2412.18789
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Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood 23 Dec 2024 · 0 repositories · arXiv:2412.17455
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Predicting the Reliability of an Image Classifier under Image Distortion 22 Dec 2024 · 0 repositories · arXiv:2412.16881
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Fast Multi-Group Gaussian Process Factor Models 21 Dec 2024 · 0 repositories · arXiv:2412.16773
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Co-optimization of Vehicle Dynamics and Powertrain Management for Connected and Automated Electric Vehicles 19 Dec 2024 · 0 repositories · arXiv:2412.14984
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Model-Agnostic Cosmological Inference with SDSS-IV eBOSS: Simultaneous Probing for Background and Perturbed Universe 18 Dec 2024 · 0 repositories · arXiv:2412.13973
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Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction 17 Dec 2024 · 0 repositories · arXiv:2412.12834
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GPgym: A Remote Service Platform with Gaussian Process Regression for Online Learning 17 Dec 2024 · 0 repositories · arXiv:2412.13276
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Predictive Probability Density Mapping for Search and Rescue Using An Agent-Based Approach with Sparse Data 17 Dec 2024 · 0 repositories · arXiv:2412.13317
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document 16 Dec 2024 · 0 repositories · arXiv:2412.11950
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Distribution free uncertainty quantification in neuroscience-inspired deep operators 12 Dec 2024 · 0 repositories · arXiv:2412.09369
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Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty 11 Dec 2024 · 0 repositories · arXiv:2412.08225
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Gearing Gaussian process modeling and sequential design towards stochastic simulators 10 Dec 2024 · 0 repositories · arXiv:2412.07306
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Hyperband-based Bayesian Optimization for Black-box Prompt Selection 10 Dec 2024 · 0 repositories · arXiv:2412.07820
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Obstacle-aware Gaussian Process Regression 9 Dec 2024 · 0 repositories · arXiv:2412.06160
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Elucidating microstructural influences on fatigue behavior for additively manufactured Hastelloy X using Bayesian-calibrated crystal plasticity model 6 Dec 2024 · 0 repositories · arXiv:2412.10405
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Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing 5 Dec 2024 · 0 repositories · arXiv:2412.04577
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Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments 5 Dec 2024 · 1 repository · arXiv:2412.04285
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Semiparametric Bayesian Difference-in-Differences 5 Dec 2024 · 0 repositories · arXiv:2412.04605
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BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation 4 Dec 2024 · 0 repositories · arXiv:2412.02934
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Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept 4 Dec 2024 · 1 repository · arXiv:2412.03299Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
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Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval 3 Dec 2024 · 1 repository · arXiv:2412.02310
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Sample Efficient Robot Learning in Supervised Effect Prediction Tasks 3 Dec 2024 · 0 repositories · arXiv:2412.02331
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Vector Optimization with Gaussian Process Bandits 3 Dec 2024 · 1 repository · arXiv:2412.02484
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Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization 2 Dec 2024 · 0 repositories · arXiv:2412.01767
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Physics-informed Gaussian Processes as Linear Model Predictive Controller 2 Dec 2024 · 0 repositories · arXiv:2412.04502
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Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression 28 Nov 2024 · 0 repositories · arXiv:2412.00123
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Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable 28 Nov 2024 · 0 repositories · arXiv:2411.18989
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Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective 27 Nov 2024 · 0 repositories · arXiv:2411.18095
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SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation 27 Nov 2024 · 1 repository · arXiv:2411.18484
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Knowledge-aware Evolutionary Graph Neural Architecture Search 26 Nov 2024 · 1 repository · arXiv:2411.17339