Browse State-of-the-Art › Gaussian Processes › Papers, page 14

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 14 of 20: papers 1,301 to 1,400 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.

• Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes
  25 Mar 2021 0 repositories listed
• Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
  18 Mar 2021 0 repositories listed
• The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
  11 Mar 2021 0 repositories listed
• Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control
  9 Mar 2021 0 repositories listed
• The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
  8 Mar 2021 0 repositories listed
• On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
  4 Mar 2021 0 repositories listed
• Small Sample Spaces for Gaussian Processes
  4 Mar 2021 0 repositories listed
• The Promises and Pitfalls of Deep Kernel Learning
  24 Feb 2021 0 repositories listed
• SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference
  23 Feb 2021 0 repositories listed
• Large-width functional asymptotics for deep Gaussian neural networks
  20 Feb 2021 0 repositories listed
• Non-asymptotic approximations of neural networks by Gaussian processes
  17 Feb 2021 0 repositories listed
• Using Distance Correlation for Efficient Bayesian Optimization
  17 Feb 2021 0 repositories listed
• Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
  16 Feb 2021 0 repositories listed
• Double-descent curves in neural networks: a new perspective using Gaussian processes
  14 Feb 2021 0 repositories listed
• Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
  12 Feb 2021 0 repositories listed
• Attentive Gaussian processes for probabilistic time-series generation
  10 Feb 2021 0 repositories listed
• Bandits for Learning to Explain from Explanations
  7 Feb 2021 0 repositories listed
• Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
  7 Feb 2021 0 repositories listed
• Infinite-channel deep stable convolutional neural networks
  7 Feb 2021 0 repositories listed
• Latent Map Gaussian Processes for Mixed Variable Metamodeling
  7 Feb 2021 0 repositories listed
• Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
  5 Feb 2021 0 repositories listed
• Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
  5 Feb 2021 0 repositories listed
• Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
  5 Feb 2021 0 repositories listed
• Gaussian Experts Selection using Graphical Models
  2 Feb 2021 0 repositories listed
• A probabilistic Taylor expansion with Gaussian processes
  1 Feb 2021 0 repositories listed
• Faster Kernel Interpolation for Gaussian Processes
  28 Jan 2021 0 repositories listed
• Gaussian Process Latent Class Choice Models
  28 Jan 2021 0 repositories listed
• Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
  28 Jan 2021 0 repositories listed
• A Receding Horizon Approach for Simultaneous Active Learning and Control using Gaussian Processes
  25 Jan 2021 0 repositories listed
• Damage detection in operational wind turbine blades using a new approach based on machine learning
  25 Jan 2021 0 repositories listed
• Model-based Policy Search for Partially Measurable Systems
  21 Jan 2021 0 repositories listed
• Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control
  20 Jan 2021 0 repositories listed
• A Renormalization Group Approach to Connect Discrete- and Continuous-Time Descriptions of Gaussian Processes
  16 Jan 2021 0 repositories listed
• Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control
  13 Jan 2021 0 repositories listed
• Improved active output selection strategy for noisy environments
  10 Jan 2021 0 repositories listed
• Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models
  6 Jan 2021 0 repositories listed
• Structured Machine Learning Tools for Modelling Characteristics of Guided Waves
  5 Jan 2021 0 repositories listed
• Gauss-Legendre Features for Gaussian Process Regression
  4 Jan 2021 0 repositories listed
• Using BART to Perform Pareto Optimization and Quantify its Uncertainties
  4 Jan 2021 0 repositories listed
• Activation-level uncertainty in deep neural networks
  1 Jan 2021 0 repositories listed
• DAG-GPs: Learning Directed Acyclic Graph Structure For Multi-Output Gaussian Processes
  1 Jan 2021 0 repositories listed
• Deep Ensemble Kernel Learning
  1 Jan 2021 0 repositories listed
• Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning
  1 Jan 2021 0 repositories listed
• Optimal Designs of Gaussian Processes with Budgets for Hyperparameter Optimization
  1 Jan 2021 0 repositories listed
• Time Series Counterfactual Inference with Hidden Confounders
  1 Jan 2021 0 repositories listed
• A Tutorial on Sparse Gaussian Processes and Variational Inference
  27 Dec 2020 0 repositories listed
• Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes
  23 Dec 2020 0 repositories listed
• Gaussian Process Regression constrained by Boundary Value Problems
  22 Dec 2020 0 repositories listed
• Learning Structures in Earth Observation Data with Gaussian Processes
  22 Dec 2020 0 repositories listed
• Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
  21 Dec 2020 0 repositories listed
• Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach
  20 Dec 2020 0 repositories listed
• Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
  11 Dec 2020 0 repositories listed
• Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
  11 Dec 2020 0 repositories listed
• Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference
  9 Dec 2020 0 repositories listed
• Deep Gaussian Processes for geophysical parameter retrieval
  7 Dec 2020 0 repositories listed
• Mapping Leaf Area Index with a Smartphone and Gaussian Processes
  7 Dec 2020 0 repositories listed
• Nonlinear Distribution Regression for Remote Sensing Applications
  7 Dec 2020 0 repositories listed
• Physics-Aware Gaussian Processes in Remote Sensing
  7 Dec 2020 0 repositories listed
• Spectral band selection for vegetation properties retrieval using Gaussian processes regression
  7 Dec 2020 0 repositories listed
• Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
  6 Dec 2020 0 repositories listed
• Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes
  5 Dec 2020 0 repositories listed
• Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
  1 Dec 2020 0 repositories listed
• Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
  1 Dec 2020 0 repositories listed
• Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes
  30 Nov 2020 0 repositories listed
• Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals
  27 Nov 2020 0 repositories listed
• All You Need is a Good Functional Prior for Bayesian Deep Learning
  25 Nov 2020 0 repositories listed
• Gaussian Processes for Traffic Speed Prediction at Different Aggregation Levels
  24 Nov 2020 0 repositories listed
• Decoupled Sparse Gaussian Processes Components]{Decoupled Sparse Gaussian Processes Components : Separating Decision Making from Data Manifold Fitting
  23 Nov 2020 0 repositories listed
• Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes
  23 Nov 2020 0 repositories listed
• Gaussian Process Latent Variable Flows for Massively Missing Data
  23 Nov 2020 0 repositories listed
• Neural Linear Models with Functional Gaussian Process Priors
  23 Nov 2020 0 repositories listed
• Neural Networks as Inter-Domain Inducing Points
  23 Nov 2020 0 repositories listed
• The Gaussian Process Latent Autoregressive Model
  23 Nov 2020 0 repositories listed
• Design of Experiments for Verifying Biomolecular Networks
  20 Nov 2020 0 repositories listed
• The Impact of Data on the Stability of Learning-Based Control- Extended Version
  20 Nov 2020 0 repositories listed
• Safe model-based design of experiments using Gaussian processes
  19 Nov 2020 0 repositories listed
• Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes
  15 Nov 2020 0 repositories listed
• Sparse within Sparse Gaussian Processes using Neighbor Information
  10 Nov 2020 0 repositories listed
• Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting
  8 Nov 2020 0 repositories listed
• Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women
  7 Nov 2020 0 repositories listed
• Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems
  6 Nov 2020 0 repositories listed
• Bayesian Variational Optimization for Combinatorial Spaces
  3 Nov 2020 0 repositories listed
• Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process
  3 Nov 2020 0 repositories listed
• Sample-efficient reinforcement learning using deep Gaussian processes
  2 Nov 2020 0 repositories listed
• Inter-domain Deep Gaussian Processes
  1 Nov 2020 0 repositories listed
• Matérn Gaussian Processes on Graphs
  29 Oct 2020 0 repositories listed
• Hierarchical Gaussian Processes with Wasserstein-2 Kernels
  28 Oct 2020 0 repositories listed
• Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization
  28 Oct 2020 0 repositories listed
• Local Granger Causality
  26 Oct 2020 0 repositories listed
• Deep Importance Sampling based on Regression for Model Inversion and Emulation
  20 Oct 2020 0 repositories listed
• Statistical Analysis of the LMS Algorithm for Proper and Improper Gaussian Processes
  20 Oct 2020 0 repositories listed
• Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
  19 Oct 2020 0 repositories listed
• Aggregating Dependent Gaussian Experts in Local Approximation
  17 Oct 2020 0 repositories listed
• Graph Based Gaussian Processes on Restricted Domains
  14 Oct 2020 0 repositories listed
• Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes
  12 Oct 2020 0 repositories listed
• Few-shot Learning for Spatial Regression
  9 Oct 2020 0 repositories listed
• Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
  9 Oct 2020 0 repositories listed
• Gene Regulatory Network Inference with Latent Force Models
  6 Oct 2020 0 repositories listed
• Splitting Gaussian Process Regression for Streaming Data
  6 Oct 2020 0 repositories listed
• Deep kernel processes
  4 Oct 2020 0 repositories listed