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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 11 of 20: papers 1,001 to 1,100 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.

• Stochastic MPC for energy hubs using data driven demand forecasting
  24 Apr 2023 0 repositories listed
• Self-Correcting Bayesian Optimization through Bayesian Active Learning
  21 Apr 2023 0 repositories listed
• Martingale Posterior Neural Processes
  19 Apr 2023 0 repositories listed
• Neural networks for geospatial data
  18 Apr 2023 0 repositories listed
• Dimensionality Reduction as Probabilistic Inference
  15 Apr 2023 0 repositories listed
• Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
  11 Apr 2023 0 repositories listed
• Wide neural networks: From non-gaussian random fields at initialization to the NTK geometry of training
  6 Apr 2023 0 repositories listed
• Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
  4 Apr 2023 0 repositories listed
• Sparse Gaussian Processes with Spherical Harmonic Features Revisited
  28 Mar 2023 0 repositories listed
• Stochastic Model Predictive Control Utilizing Bayesian Neural Networks
  25 Mar 2023 0 repositories listed
• Clustering based on Mixtures of Sparse Gaussian Processes
  23 Mar 2023 0 repositories listed
• Chance Constrained Stochastic Optimal Control for Arbitrarily Disturbed LTI Systems Via the One-Sided Vysochanskij-Petunin Inequality
  22 Mar 2023 0 repositories listed
• Gaussian Process on the Product of Directional Manifolds
  13 Mar 2023 0 repositories listed
• Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning
  9 Mar 2023 0 repositories listed
• Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
  8 Mar 2023 0 repositories listed
• Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
  8 Mar 2023 0 repositories listed
• Learning-based Position and Stiffness Feedforward Control of Antagonistic Soft Pneumatic Actuators using Gaussian Processes
  3 Mar 2023 0 repositories listed
• Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization
  28 Feb 2023 0 repositories listed
• Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
  28 Feb 2023 0 repositories listed
• Random forests for binary geospatial data
  27 Feb 2023 0 repositories listed
• Sharp Calibrated Gaussian Processes
  23 Feb 2023 0 repositories listed
• Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator
  19 Feb 2023 0 repositories listed
• A Meta-Learning Approach to Population-Based Modelling of Structures
  15 Feb 2023 0 repositories listed
• Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
  9 Feb 2023 0 repositories listed
• Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
  1 Feb 2023 0 repositories listed
• Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes
  1 Feb 2023 0 repositories listed
• Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions
  31 Jan 2023 0 repositories listed
• A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins
  30 Jan 2023 0 repositories listed
• Intrinsic Bayesian Optimisation on Complex Constrained Domain
  29 Jan 2023 0 repositories listed
• Sequential Estimation of Gaussian Process-based Deep State-Space Models
  29 Jan 2023 0 repositories listed
• Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
  24 Jan 2023 0 repositories listed
• Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization
  23 Jan 2023 0 repositories listed
• Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
  16 Jan 2023 0 repositories listed
• On the role of Model Uncertainties in Bayesian Optimization
  14 Jan 2023 0 repositories listed
• Machine learning methods for prediction of breakthrough curves in reactive porous media
  12 Jan 2023 0 repositories listed
• Modeling the evolution of temporal knowledge graphs with uncertainty
  12 Jan 2023 0 repositories listed
• Application of machine learning to gas flaring
  11 Jan 2023 0 repositories listed
• Robust Bayesian Target Value Optimization
  11 Jan 2023 0 repositories listed
• Quantile Autoregression-based Non-causality Testing
  7 Jan 2023 0 repositories listed
• A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
  6 Jan 2023 0 repositories listed
• Extrinsic Bayesian Optimizations on Manifolds
  21 Dec 2022 0 repositories listed
• A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes
  19 Dec 2022 0 repositories listed
• Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics
  18 Dec 2022 0 repositories listed
• Generative structured normalizing flow Gaussian processes applied to spectroscopic data
  14 Dec 2022 0 repositories listed
• Gaussian Process Barrier States for Safe Trajectory Optimization and Control
  1 Dec 2022 0 repositories listed
• Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions
  30 Nov 2022 0 repositories listed
• Frequency Domain Gaussian Process Models for H^∞ Uncertainties
  29 Nov 2022 0 repositories listed
• Transductive Kernels for Gaussian Processes on Graphs
  28 Nov 2022 0 repositories listed
• Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
  27 Nov 2022 0 repositories listed
• A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking
  25 Nov 2022 0 repositories listed
• Understanding Sparse Feature Updates in Deep Networks using Iterative Linearisation
  22 Nov 2022 0 repositories listed
• Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework
  21 Nov 2022 0 repositories listed
• The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models
  20 Nov 2022 0 repositories listed
• Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification
  17 Nov 2022 0 repositories listed
• Introduction and Exemplars of Uncertainty Decomposition
  17 Nov 2022 0 repositories listed
• Global Optimization with Parametric Function Approximation
  16 Nov 2022 0 repositories listed
• Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes
  15 Nov 2022 0 repositories listed
• Learning Neural Optimal Interpolation Models and Solvers
  14 Nov 2022 0 repositories listed
• Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
  14 Nov 2022 0 repositories listed
• Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
  11 Nov 2022 0 repositories listed
• On power sum kernels on symmetric groups
  10 Nov 2022 0 repositories listed
• Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis
  4 Nov 2022 0 repositories listed
• Fantasizing with Dual GPs in Bayesian Optimization and Active Learning
  2 Nov 2022 0 repositories listed
• Monte Carlo Tree Descent for Black-Box Optimization
  1 Nov 2022 0 repositories listed
• Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models
  28 Oct 2022 0 repositories listed
• Optimization on Manifolds via Graph Gaussian Processes
  20 Oct 2022 0 repositories listed
• Scalable Bayesian Transformed Gaussian Processes
  20 Oct 2022 0 repositories listed
• Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
  20 Oct 2022 0 repositories listed
• Locally Smoothed Gaussian Process Regression
  18 Oct 2022 0 repositories listed
• Conditional Neural Processes for Molecules
  17 Oct 2022 0 repositories listed
• Model of rough surfaces with Gaussian processes
  15 Oct 2022 0 repositories listed
• Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
  14 Oct 2022 0 repositories listed
• Gaussian Processes on Distributions based on Regularized Optimal Transport
  12 Oct 2022 0 repositories listed
• Inference on Causal Effects of Interventions in Time using Gaussian Processes
  6 Oct 2022 0 repositories listed
• Active Learning for Regression with Aggregated Outputs
  4 Oct 2022 0 repositories listed
• Safety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version)
  4 Oct 2022 0 repositories listed
• Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding
  1 Oct 2022 0 repositories listed
• Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature
  30 Sep 2022 0 repositories listed
• Optimal Stopping with Gaussian Processes
  22 Sep 2022 0 repositories listed
• Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
  22 Sep 2022 0 repositories listed
• Partial sequence labeling with structured Gaussian Processes
  20 Sep 2022 0 repositories listed
• Interrelation of equivariant Gaussian processes and convolutional neural networks
  17 Sep 2022 0 repositories listed
• Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes
  9 Sep 2022 0 repositories listed
• Optimal Sensor Placement in Body Surface Networks using Gaussian Processes
  7 Sep 2022 0 repositories listed
• Active learning-assisted neutron spectroscopy with log-Gaussian processes
  2 Sep 2022 0 repositories listed
• Bézier Gaussian Processes for Tall and Wide Data
  1 Sep 2022 0 repositories listed
• Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
  26 Aug 2022 0 repositories listed
• Mixtures of Gaussian Process Experts with SMC²
  26 Aug 2022 0 repositories listed
• Fast emulation of density functional theory simulations using approximate Gaussian processes
  24 Aug 2022 0 repositories listed
• Learning linear modules in a dynamic network with missing node observations
  23 Aug 2022 0 repositories listed
• Scale invariant process regression: Towards Bayesian ML with minimal assumptions
  22 Aug 2022 0 repositories listed
• Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data
  21 Aug 2022 0 repositories listed
• Modelling spatio-temporal trends of air pollution in Africa
  21 Aug 2022 0 repositories listed
• Quantum Bayesian Computation
  17 Aug 2022 0 repositories listed
• Gaussian Process Surrogate Models for Neural Networks
  11 Aug 2022 0 repositories listed
• Bayesian Optimization with Informative Covariance
  4 Aug 2022 0 repositories listed
• Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
  2 Aug 2022 0 repositories listed
• Correcting Model Bias with Sparse Implicit Processes
  21 Jul 2022 0 repositories listed
• Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings
  18 Jul 2022 0 repositories listed
• Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes
  16 Jul 2022 0 repositories listed