Browse State-of-the-Art › Gaussian Processes › Papers, page 8
Gaussian Processes
Papers archive 2025-07-28
archive papers tagged: 1,963 · with a code link: 685 · where Syntology ran a sample: 160 (131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (160 of 1,963 tagged: 131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument)
Page 8 of 20: papers 701 to 800 of 1,963, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “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 figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. 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); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Gaussian Processes in Power Systems: Techniques, Applications, and Future Works21 May 2025 0 repositories listed
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Wasserstein Barycenter Gaussian Process based Bayesian Optimization18 May 2025 0 repositories listed
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Graph and Simplicial Complex Prediction Gaussian Process via the Hodgelet Representations16 May 2025 0 repositories listed
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A Fast Kernel-based Conditional Independence test with Application to Causal Discovery16 May 2025 0 repositories listed
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Convergence Rates of Constrained Expected Improvement16 May 2025 0 repositories listed
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STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes16 May 2025 0 repositories listed
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Fairness-aware Bayes optimal functional classification14 May 2025 0 repositories listed
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Probabilistic Wind Power Forecasting via Non-Stationary Gaussian Processes13 May 2025 0 repositories listed
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Identifying Causal Direction via Variational Bayesian Compression12 May 2025 0 repositories listed
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Improving Random Forests by Smoothing11 May 2025 0 repositories listed
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The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning6 May 2025 0 repositories listed
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A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications3 May 2025 0 repositories listed
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Low-rank computation of the posterior mean in Multi-Output Gaussian Processes30 Apr 2025 0 repositories listed
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Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes30 Apr 2025 0 repositories listed
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A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression25 Apr 2025 0 repositories listed
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TopSpace: spatial topic modeling for unsupervised discovery of multicellular spatial tissue structures in multiplex imaging25 Apr 2025 0 repositories listed
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Gaussian behaviors: representations and data-driven control22 Apr 2025 0 repositories listed
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Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks14 Apr 2025 0 repositories listed
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Learning-based decentralized control with collision avoidance for multi-agent systems13 Apr 2025 0 repositories listed
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Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows5 Apr 2025 0 repositories listed
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Preconditioned Additive Gaussian Processes with Fourier Acceleration1 Apr 2025 0 repositories listed
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DeepRV: pre-trained spatial priors for accelerated disease mapping27 Mar 2025 0 repositories listed
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Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems24 Mar 2025 0 repositories listed
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Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes24 Mar 2025 0 repositories listed
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A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games23 Mar 2025 0 repositories listed
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Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes20 Mar 2025 0 repositories listed
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Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization18 Mar 2025 0 repositories listed
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Support Collapse of Deep Gaussian Processes with Polynomial Kernels for a Wide Regime of Hyperparameters15 Mar 2025 0 repositories listed
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Large Scale Multi-Task Bayesian Optimization with Large Language Models11 Mar 2025 0 repositories listed
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BARK: A Fully Bayesian Tree Kernel for Black-box Optimization7 Mar 2025 0 repositories listed
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Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?5 Mar 2025 0 repositories listed
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A physics-informed Bayesian optimization method for rapid development of electrical machines1 Mar 2025 0 repositories listed
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An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation28 Feb 2025 0 repositories listed
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Gaussian process surrogate model to approximate power grid simulators -- An application to the certification of a congestion management controller28 Feb 2025 0 repositories listed
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Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood26 Feb 2025 0 repositories listed
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Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification20 Feb 2025 0 repositories listed
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Experiment Design with Gaussian Process Regression with Applications to Chance-Constrained Control19 Feb 2025 0 repositories listed
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Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference19 Feb 2025 0 repositories listed
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Robust Optimization with Diffusion Models for Green Security19 Feb 2025 0 repositories listed
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Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions18 Feb 2025 0 repositories listed
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Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems17 Feb 2025 0 repositories listed
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Locally-Deployed Chain-of-Thought (CoT) Reasoning Model in Chemical Engineering: Starting from 30 Experimental Data17 Feb 2025 0 repositories listed
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New Bounds for Sparse Variational Gaussian Processes12 Feb 2025 0 repositories listed
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Recurrent Memory for Online Interdomain Gaussian Processes12 Feb 2025 0 repositories listed
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Bayesian Optimization by Kernel Regression and Density-based Exploration10 Feb 2025 0 repositories listed
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Koopman-Equivariant Gaussian Processes10 Feb 2025 0 repositories listed
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Distributionally Robust Model Predictive Control with Mixture of Gaussian Processes8 Feb 2025 0 repositories listed
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Tighter sparse variational Gaussian processes7 Feb 2025 0 repositories listed
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Gaussian Process Regression for Inverse Problems in Linear PDEs6 Feb 2025 0 repositories listed
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Student-t processes as infinite-width limits of posterior Bayesian neural networks6 Feb 2025 0 repositories listed
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Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers4 Feb 2025 0 repositories listed
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Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies4 Feb 2025 0 repositories listed
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Gaussian processes for dynamics learning in model predictive control4 Feb 2025 0 repositories listed
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The Price of Linear Time: Error Analysis of Structured Kernel Interpolation1 Feb 2025 0 repositories listed
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Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers29 Jan 2025 0 repositories listed
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Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions26 Jan 2025 0 repositories listed
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Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles24 Jan 2025 0 repositories listed
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Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation13 Jan 2025 0 repositories listed
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Interpolation pour l'augmentation de donnees : Application à la gestion des adventices de la canne a sucre a la Reunion10 Jan 2025 0 repositories listed
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Multi-view Bayesian optimisation in reduced dimension for engineering design2 Jan 2025 0 repositories listed
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Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes30 Dec 2024 0 repositories listed
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Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes27 Dec 2024 0 repositories listed
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Bayesian Optimization of Bilevel Problems24 Dec 2024 0 repositories listed
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Fast Multi-Group Gaussian Process Factor Models21 Dec 2024 0 repositories listed
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Comparing noisy neural population dynamics using optimal transport distances19 Dec 2024 0 repositories listed
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Bayesian Optimization via Continual Variational Last Layer Training12 Dec 2024 0 repositories listed
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Data Efficient Prediction of excited-state properties using Quantum Neural Networks12 Dec 2024 0 repositories listed
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Dimensionality Reduction Techniques for Global Bayesian Optimisation12 Dec 2024 0 repositories listed
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Epidemiological Model Calibration via Graybox Bayesian Optimization10 Dec 2024 0 repositories listed
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Uncertainty Quantification for Transformer Models for Dark-Pattern Detection6 Dec 2024 0 repositories listed
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Physics-informed Gaussian Processes as Linear Model Predictive Controller2 Dec 2024 0 repositories listed
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A Generalized Unified Skew-Normal Process with Neural Bayes Inference26 Nov 2024 0 repositories listed
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Sparsifying Suprema of Gaussian Processes22 Nov 2024 0 repositories listed
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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems14 Nov 2024 0 repositories listed
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Constructing Gaussian Processes via Samplets11 Nov 2024 0 repositories listed
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Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes10 Nov 2024 0 repositories listed
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Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data7 Nov 2024 0 repositories listed
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A spectral mixture representation of isotropic kernels to generalize random Fourier features5 Nov 2024 0 repositories listed
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Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference1 Nov 2024 0 repositories listed
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31 Oct 2024 0 repositories listed Syntology 17 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 4 honoured, 2 violated, 0 with no contract checked; 11 where Syntology's instrument failed) · 9 unverified (of 26 harvested samples) · 26 pointer-only (licence)
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Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation24 Oct 2024 0 repositories listed
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BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework21 Oct 2024 0 repositories listed
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Learning signals defined on graphs with optimal transport and Gaussian process regression21 Oct 2024 0 repositories listed
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Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation17 Oct 2024 0 repositories listed
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Nonlinear bayesian tomography of ion temperature and velocity for Doppler coherence imaging spectroscopy in RT-116 Oct 2024 0 repositories listed
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Data-Driven Approaches for Modelling Target Behaviour14 Oct 2024 0 repositories listed
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Graph Classification Gaussian Processes via Hodgelet Spectral Features14 Oct 2024 0 repositories listed
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Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure11 Oct 2024 0 repositories listed
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Online scalable Gaussian processes with conformal prediction for guaranteed coverage7 Oct 2024 0 repositories listed
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Automating the Design of Multi-band Microstrip Antennas via Uniform Cross-Entropy Optimization3 Oct 2024 0 repositories listed
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Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting3 Oct 2024 0 repositories listed
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GPTreeO: An R package for continual regression with dividing local Gaussian processes1 Oct 2024 0 repositories listed
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Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions27 Sep 2024 0 repositories listed
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Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel26 Sep 2024 0 repositories listed
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Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape25 Sep 2024 0 repositories listed
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AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites24 Sep 2024 0 repositories listed
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Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions19 Sep 2024 0 repositories listed
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Amortized Variational Inference for Deep Gaussian Processes18 Sep 2024 0 repositories listed
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Conformal Prediction for Manifold-based Source Localization with Gaussian Processes18 Sep 2024 0 repositories listed
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Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes10 Sep 2024 0 repositories listed
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.