Browse State-of-the-Art › Gaussian Processes › Papers, page 9
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 9 of 20: papers 801 to 900 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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Predicting Electricity Consumption with Random Walks on Gaussian Processes9 Sep 2024 0 repositories listed
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Inference for Large Scale Regression Models with Dependent Errors8 Sep 2024 0 repositories listed
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Multi-Task Combinatorial Bandits for Budget Allocation31 Aug 2024 0 repositories listed
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Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes29 Aug 2024 0 repositories listed
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Turbine location-aware multi-decadal wind power predictions for Germany using CMIP627 Aug 2024 0 repositories listed
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A Unified Theory of Quantum Neural Network Loss Landscapes21 Aug 2024 0 repositories listed
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Gaussian Processes with Noisy Regression Inputs for Dynamical Systems16 Aug 2024 0 repositories listed
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Incremental Structure Discovery of Classification via Sequential Monte Carlo15 Aug 2024 0 repositories listed
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Posterior Covariance Structures in Gaussian Processes14 Aug 2024 0 repositories listed
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Artificial Neural Network and Deep Learning: Fundamentals and Theory12 Aug 2024 0 repositories listed
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Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations12 Aug 2024 0 repositories listed
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Dirichlet Logistic Gaussian Processes for Evaluation of Black-Box Stochastic Systems under Complex Requirements6 Aug 2024 0 repositories listed
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Aggregation Models with Optimal Weights for Distributed Gaussian Processes1 Aug 2024 0 repositories listed
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DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks30 Jul 2024 0 repositories listed
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Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection26 Jul 2024 0 repositories listed
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Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes24 Jul 2024 0 repositories listed
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Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification15 Jul 2024 0 repositories listed
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Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation15 Jul 2024 0 repositories listed
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Genus expansion for non-linear random matrix ensembles with applications to neural networks11 Jul 2024 0 repositories listed
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Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference2 Jul 2024 0 repositories listed
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DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety30 Jun 2024 0 repositories listed
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Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization30 Jun 2024 0 repositories listed
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Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes29 Jun 2024 0 repositories listed
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Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer28 Jun 2024 0 repositories listed
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Data-driven identification of port-Hamiltonian DAE systems by Gaussian processes26 Jun 2024 0 repositories listed
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BrowNNe: Brownian Nonlocal Neurons & Activation Functions21 Jun 2024 0 repositories listed
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Bayesian Circular Regression with von Mises Quasi-Processes19 Jun 2024 0 repositories listed
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Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows11 Jun 2024 0 repositories listed
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On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them10 Jun 2024 0 repositories listed
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On the Consistency of Kernel Methods with Dependent Observations10 Jun 2024 0 repositories listed
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Linearization Turns Neural Operators into Function-Valued Gaussian Processes7 Jun 2024 0 repositories listed
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Approximation-Aware Bayesian Optimization6 Jun 2024 0 repositories listed
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BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems5 Jun 2024 0 repositories listed
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Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes5 Jun 2024 0 repositories listed
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Demystifying Spectral Bias on Real-World Data4 Jun 2024 0 repositories listed
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Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes28 May 2024 0 repositories listed
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Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction27 May 2024 0 repositories listed
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Physically Consistent Modeling & Identification of Nonlinear Friction with Dissipative Gaussian Processes27 May 2024 0 repositories listed
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Variance-Reducing Couplings for Random Features26 May 2024 0 repositories listed
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Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization24 May 2024 0 repositories listed
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Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors23 May 2024 0 repositories listed
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Regression Trees Know Calculus22 May 2024 0 repositories listed
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Efficient modeling of sub-kilometer surface wind with Gaussian processes and neural networks21 May 2024 0 repositories listed
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Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory21 May 2024 0 repositories listed
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Optimal Privacy-Aware Stochastic Sampling20 May 2024 0 repositories listed
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Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation19 May 2024 0 repositories listed
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Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes17 May 2024 0 repositories listed
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A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics16 May 2024 0 repositories listed
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Architectures and random properties of symplectic quantum circuits16 May 2024 0 repositories listed
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Random ReLU Neural Networks as Non-Gaussian Processes16 May 2024 0 repositories listed
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Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments15 May 2024 0 repositories listed
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Spectral complexity of deep neural networks15 May 2024 0 repositories listed
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Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes14 May 2024 0 repositories listed
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No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes14 May 2024 0 repositories listed
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Wilsonian Renormalization of Neural Network Gaussian Processes9 May 2024 0 repositories listed
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Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data8 May 2024 0 repositories listed
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Enhancing RSS-Based Visible Light Positioning by Optimal Calibrating the LED Tilt and Gain29 Apr 2024 0 repositories listed
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Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks29 Apr 2024 0 repositories listed
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COBRA -- COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images25 Apr 2024 0 repositories listed
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Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH25 Apr 2024 0 repositories listed
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Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations24 Apr 2024 0 repositories listed
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A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures18 Apr 2024 0 repositories listed
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Analytical results for uncertainty propagation through trained machine learning regression models17 Apr 2024 0 repositories listed
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BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction16 Apr 2024 0 repositories listed
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Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes8 Apr 2024 0 repositories listed
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Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales4 Apr 2024 0 repositories listed
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A Unified Kernel for Neural Network Learning26 Mar 2024 0 repositories listed
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Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes26 Mar 2024 0 repositories listed
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Multi-Agent Clarity-Aware Dynamic Coverage with Gaussian Processes26 Mar 2024 0 repositories listed
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Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin25 Mar 2024 0 repositories listed
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Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression20 Mar 2024 0 repositories listed
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Composite likelihood estimation of stationary Gaussian processes with a view toward stochastic volatility19 Mar 2024 0 repositories listed
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Informed Spectral Normalized Gaussian Processes for Trajectory Prediction18 Mar 2024 0 repositories listed
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A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling16 Mar 2024 0 repositories listed
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Learning High-Order Control Barrier Functions for Safety-Critical Control with Gaussian Processes14 Mar 2024 0 repositories listed
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On the Laplace Approximation as Model Selection Criterion for Gaussian Processes14 Mar 2024 0 repositories listed
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Mechanism Design Optimization through CAD-Based Bayesian Optimization and Quantified Constraints13 Mar 2024 0 repositories listed
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PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates12 Mar 2024 0 repositories listed
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Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization7 Mar 2024 0 repositories listed
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Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration7 Mar 2024 0 repositories listed
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Deep Horseshoe Gaussian Processes4 Mar 2024 0 repositories listed
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Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes4 Mar 2024 0 repositories listed
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Fusion of Gaussian Processes Predictions with Monte Carlo Sampling3 Mar 2024 0 repositories listed
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Mixed Strategy Nash Equilibrium for Crowd Navigation3 Mar 2024 0 repositories listed
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Sketching the Heat Kernel: Using Gaussian Processes to Embed Data1 Mar 2024 0 repositories listed
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Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models29 Feb 2024 0 repositories listed
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Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting27 Feb 2024 0 repositories listed
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Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference26 Feb 2024 0 repositories listed
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Gradient-enhanced deep Gaussian processes for multifidelity modelling25 Feb 2024 0 repositories listed
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Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting23 Feb 2024 0 repositories listed
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Nowcasting with Mixed Frequency Data Using Gaussian Processes16 Feb 2024 0 repositories listed
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Resilience of Rademacher chaos of low degree16 Feb 2024 0 repositories listed
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Recommendations for Baselines and Benchmarking Approximate Gaussian Processes15 Feb 2024 0 repositories listed
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Neural Networks Asymptotic Behaviours for the Resolution of Inverse Problems14 Feb 2024 0 repositories listed
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Trained quantum neural networks are Gaussian processes13 Feb 2024 0 repositories listed
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A Novel Gaussian Min-Max Theorem and its Applications12 Feb 2024 0 repositories listed
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Safe Active Learning for Time-Series Modeling with Gaussian Processes9 Feb 2024 0 repositories listed
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Gaussian Process-Based Nonlinear Moving Horizon Estimation7 Feb 2024 0 repositories listed
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Combining additivity and active subspaces for high-dimensional Gaussian process modeling6 Feb 2024 0 repositories listed
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Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies5 Feb 2024 0 repositories listed