Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 5
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 5 of 25: papers 401 to 500 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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Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach 15 Apr 2024 · 0 repositories · arXiv:2404.19669
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Integrating Marketing Channels into Quantile Transformation and Bayesian Optimization of Ensemble Kernels for Sales Prediction with Gaussian Process Models 15 Apr 2024 · 0 repositories · arXiv:2404.09386
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Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles 10 Apr 2024 · 1 repository · arXiv:2404.06732
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Efficient Training of Probabilistic Neural Networks for Survival Analysis 9 Apr 2024 · 1 repository · arXiv:2404.06421
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Kermut: Composite kernel regression for protein variant effects 9 Apr 2024 · 1 repository · arXiv:2407.00002Syntology official: no sample here; runs from other or unrecorded repositories · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 11 harvested samples)
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Universal Functional Regression with Neural Operator Flows 3 Apr 2024 · 1 repository · arXiv:2404.02986
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A Tutorial on Gaussian Process Learning-based Model Predictive Control 2 Apr 2024 · 0 repositories · arXiv:2404.03689
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Tensor Network-Constrained Kernel Machines as Gaussian Processes 28 Mar 2024 · 1 repository · arXiv:2403.19500
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A Unified Kernel for Neural Network Learning 26 Mar 2024 · 0 repositories · arXiv:2403.17467
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Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes 26 Mar 2024 · 0 repositories · arXiv:2403.18041
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Multi-Agent Clarity-Aware Dynamic Coverage with Gaussian Processes 26 Mar 2024 · 0 repositories · arXiv:2403.17917
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Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control 24 Mar 2024 · 0 repositories · arXiv:2403.16170
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Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression 20 Mar 2024 · 0 repositories · arXiv:2403.13300
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Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression 19 Mar 2024 · 0 repositories · arXiv:2403.13118
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Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition 19 Mar 2024 · 0 repositories · arXiv:2403.13136
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On Safety in Safe Bayesian Optimization 19 Mar 2024 · 0 repositories · arXiv:2403.12948
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Neural network representation of quantum systems 18 Mar 2024 · 0 repositories · arXiv:2403.11420
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Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings 15 Mar 2024 · 0 repositories · arXiv:2403.10497
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Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search 14 Mar 2024 · 0 repositories · arXiv:2403.09570
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On the Laplace Approximation as Model Selection Criterion for Gaussian Processes 14 Mar 2024 · 0 repositories · arXiv:2403.09215
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Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression 14 Mar 2024 · 0 repositories · arXiv:2403.09758
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Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting 14 Mar 2024 · 0 repositories · arXiv:2403.09875
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Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR 13 Mar 2024 · 0 repositories · arXiv:2403.08331
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Explainable Learning with Gaussian Processes 11 Mar 2024 · 1 repository · arXiv:2403.07072
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In-context Exploration-Exploitation for Reinforcement Learning 11 Mar 2024 · 0 repositories · arXiv:2403.06826
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An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization 8 Mar 2024 · 0 repositories · arXiv:2403.05425
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Data-Based In-Cylinder Pressure Model with Cyclic Variations for Combustion Control: A RCCI Engine Application 6 Mar 2024 · 0 repositories · arXiv:2403.03602
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Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters 6 Mar 2024 · 0 repositories · arXiv:2403.03816
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Localized Zeroth-Order Prompt Optimization 5 Mar 2024 · 0 repositories · arXiv:2403.02993
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Deep Horseshoe Gaussian Processes 4 Mar 2024 · 0 repositories · arXiv:2403.01737
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Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes 4 Mar 2024 · 0 repositories · arXiv:2403.01896
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Epsilon-Greedy Thompson Sampling to Bayesian Optimization 1 Mar 2024 · 0 repositories · arXiv:2403.00540
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Sketching the Heat Kernel: Using Gaussian Processes to Embed Data 1 Mar 2024 · 0 repositories · arXiv:2403.07929
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Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models 29 Feb 2024 · 0 repositories · arXiv:2402.18946
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Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning 28 Feb 2024 · 0 repositories · arXiv:2402.18064
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Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting 27 Feb 2024 · 0 repositories · arXiv:2402.17570
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Stopping Bayesian Optimization with Probabilistic Regret Bounds 26 Feb 2024 · 1 repository · arXiv:2402.16811Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Deep Neural Network Initialization with Sparsity Inducing Activations 25 Feb 2024 · 0 repositories · arXiv:2402.16184
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A novel data generation scheme for surrogate modelling with deep operator networks 24 Feb 2024 · 0 repositories · arXiv:2402.16903
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Information-Theoretic Safe Bayesian Optimization 23 Feb 2024 · 0 repositories · arXiv:2402.15347
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Streaming Gaussian Dirichlet Random Fields for Spatial Predictions of High Dimensional Categorical Observations 23 Feb 2024 · 0 repositories · arXiv:2402.15359
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Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning 21 Feb 2024 · 0 repositories · arXiv:2402.13945
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Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments 20 Feb 2024 · 0 repositories · arXiv:2402.12710
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Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective 20 Feb 2024 · 0 repositories · arXiv:2402.12756
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Gaussian Process Neural Additive Models 19 Feb 2024 · 1 repository · arXiv:2402.12518Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
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Data-Driven Stochastic AC-OPF using Gaussian Processes 17 Feb 2024 · 1 repository · arXiv:2402.11365
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Autonomous microARPES 16 Feb 2024 · 0 repositories · arXiv:2403.13815
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Physics-based material parameters extraction from perovskite experiments via Bayesian optimization 16 Feb 2024 · 0 repositories · arXiv:2402.11101
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Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families 14 Feb 2024 · 1 repository · arXiv:2402.09608Syntology official (archive's flag): 1 ran · 1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
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Inference for an Algorithmic Fairness-Accuracy Frontier 14 Feb 2024 · 0 repositories · arXiv:2402.08879
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Weighted-Sum of Gaussian Process Latent Variable Models 14 Feb 2024 · 0 repositories · arXiv:2402.09122
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Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process 14 Feb 2024 · 1 repository · arXiv:2402.09189
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Trained quantum neural networks are Gaussian processes 13 Feb 2024 · 0 repositories · arXiv:2402.08726
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Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations 11 Feb 2024 · 0 repositories · arXiv:2402.07139
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A Factor Graph Model of Trust for a Collaborative Multi-Agent System 10 Feb 2024 · 0 repositories · arXiv:2402.07049
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Flexible infinite-width graph convolutional networks and the importance of representation learning 9 Feb 2024 · 0 repositories · arXiv:2402.06525
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Safe Active Learning for Time-Series Modeling with Gaussian Processes 9 Feb 2024 · 0 repositories · arXiv:2402.06276
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Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification 7 Feb 2024 · 0 repositories · arXiv:2402.04582
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Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra 7 Feb 2024 · 0 repositories · arXiv:2402.05972
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Towards Understanding Inductive Bias in Transformers: A View From Infinity 7 Feb 2024 · 0 repositories · arXiv:2402.05173
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A General Theory for Kernel Packets: from state space model to compactly supported basis 6 Feb 2024 · 0 repositories · arXiv:2402.04022
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Combining additivity and active subspaces for high-dimensional Gaussian process modeling 6 Feb 2024 · 0 repositories · arXiv:2402.03809
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Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels 6 Feb 2024 · 1 repository · arXiv:2402.03838
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Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process 6 Feb 2024 · 0 repositories · arXiv:2402.04146
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Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies 5 Feb 2024 · 0 repositories · arXiv:2402.03048
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Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression 5 Feb 2024 · 0 repositories · arXiv:2402.03174
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Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions 5 Feb 2024 · 1 repository · arXiv:2402.02686Syntology official (archive's flag): 6 ran · 6 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; 1 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 6 pointer-only (licence)
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Poisson Process for Bayesian Optimization 5 Feb 2024 · 0 repositories · arXiv:2402.02687
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Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian Optimization 5 Feb 2024 · 1 repository · arXiv:2402.02746Syntology 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) · 1 pointer-only (licence)
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Whom to Trust? Elective Learning for Distributed Gaussian Process Regression 5 Feb 2024 · 0 repositories · arXiv:2402.03014
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Vanilla Bayesian Optimization Performs Great in High Dimensions 3 Feb 2024 · 1 repository · arXiv:2402.02229
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A GP-based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments 2 Feb 2024 · 0 repositories · arXiv:2402.01617
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Time-Varying Gaussian Process Bandits with Unknown Prior 2 Feb 2024 · 0 repositories · arXiv:2402.01632
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Quadrotor Takeoff Trajectory Planning in a One-Dimensional Uncertain Wind-field Aided by Wind-Sensing Infrastructure 2 Feb 2024 · 0 repositories · arXiv:2402.01518
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Bayesian Causal Inference with Gaussian Process Networks 1 Feb 2024 · 1 repository · arXiv:2402.00623
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Quantum-Assisted Hilbert-Space Gaussian Process Regression 1 Feb 2024 · 1 repository · arXiv:2402.00544
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Multitask methods for predicting molecular properties from heterogeneous data 31 Jan 2024 · 0 repositories · arXiv:2401.17898
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Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration 30 Jan 2024 · 0 repositories · arXiv:2401.17037
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A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data 29 Jan 2024 · 1 repository · arXiv:2401.16497
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Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing 27 Jan 2024 · 1 repository · arXiv:2401.15447Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample)
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Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data 25 Jan 2024 · 0 repositories · arXiv:2401.14544
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Towards Improved Variational Inference for Deep Bayesian Models 23 Jan 2024 · 0 repositories · arXiv:2401.12418
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Sparse discovery of differential equations based on multi-fidelity Gaussian process 22 Jan 2024 · 0 repositories · arXiv:2401.11825
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A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization 19 Jan 2024 · 0 repositories · arXiv:2402.04885
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Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression 16 Jan 2024 · 0 repositories · arXiv:2401.09492
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Efficient Nonparametric Tensor Decomposition for Binary and Count Data 15 Jan 2024 · 1 repository · arXiv:2401.07711Syntology official (archive's flag): 3 ran · 3 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Minimally Supervised Learning using Topological Projections in Self-Organizing Maps 12 Jan 2024 · 0 repositories · arXiv:2401.06923
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Occupancy Prediction for Building Energy Systems with Latent Force Models 10 Jan 2024 · 1 repository · arXiv:2401.05074
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Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization 8 Jan 2024 · 0 repositories · arXiv:2401.06173
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Improving sample efficiency of high dimensional Bayesian optimization with MCMC 5 Jan 2024 · 0 repositories · arXiv:2401.02650
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Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces 2 Jan 2024 · 0 repositories · arXiv:2401.01398
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PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance 28 Dec 2023 · 1 repository · arXiv:2312.16983Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 10 harvested samples)
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Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization 22 Dec 2023 · 1 repository · arXiv:2312.14713
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Fine-grained Forecasting Models Via Gaussian Process Blurring Effect 21 Dec 2023 · 1 repository · arXiv:2312.14280
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Clustering and Uncertainty Analysis to Improve the Machine Learning-based Predictions of SAFARI-1 Control Follower Assembly Axial Neutron Flux Profiles 20 Dec 2023 · 0 repositories · arXiv:2312.14193
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Bayesian Analysis of Combinatorial Gaussian Process Bandits 20 Dec 2023 · 0 repositories · arXiv:2312.12676
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Gaussian process learning of nonlinear dynamics 19 Dec 2023 · 1 repository · arXiv:2312.12193
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Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model 16 Dec 2023 · 1 repository · arXiv:2312.10435
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Frequency-domain Gaussian Process Models for H_∞ Uncertainties 15 Dec 2023 · 0 repositories · arXiv:2312.10106
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Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier 15 Dec 2023 · 0 repositories · arXiv:2312.10208