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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 12 of 20: papers 1,101 to 1,200 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.

• Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction
  3 Jul 2022 0 repositories listed
• Infinite-Fidelity Coregionalization for Physical Simulation
  1 Jul 2022 0 repositories listed
• Off-the-grid learning of mixtures from a continuous dictionary
  29 Jun 2022 0 repositories listed
• On the Rényi Cross-Entropy
  28 Jun 2022 0 repositories listed
• Distributional Gaussian Processes Layers for Out-of-Distribution Detection
  27 Jun 2022 0 repositories listed
• Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
  24 Jun 2022 0 repositories listed
• Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes
  24 Jun 2022 0 repositories listed
• A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes
  23 Jun 2022 0 repositories listed
• Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR)
  21 Jun 2022 0 repositories listed
• On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring
  17 Jun 2022 0 repositories listed
• Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference
  6 Jun 2022 0 repositories listed
• Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
  6 Jun 2022 0 repositories listed
• Statistical Deep Learning for Spatial and Spatio-Temporal Data
  5 Jun 2022 0 repositories listed
• Constraining Gaussian processes for physics-informed acoustic emission mapping
  3 Jun 2022 0 repositories listed
• Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
  31 May 2022 0 repositories listed
• Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
  30 May 2022 0 repositories listed
• Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
  30 May 2022 0 repositories listed
• Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
  30 May 2022 0 repositories listed
• Modeling Disagreement in Automatic Data Labelling for Semi-Supervised Learning in Clinical Natural Language Processing
  29 May 2022 0 repositories listed
• Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
  28 May 2022 0 repositories listed
• Distributed Gaussian Process Based Cooperative Visual Pursuit Control for Drone Networks
  27 May 2022 0 repositories listed
• Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
  27 May 2022 0 repositories listed
• Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes
  26 May 2022 0 repositories listed
• Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data
  26 May 2022 0 repositories listed
• Fast Gaussian Process Posterior Mean Prediction via Local Cross Validation and Precomputation
  22 May 2022 0 repositories listed
• Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
  18 May 2022 0 repositories listed
• An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
  17 May 2022 0 repositories listed
• Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking
  11 May 2022 0 repositories listed
• Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design
  6 May 2022 0 repositories listed
• On boundary conditions parametrized by analytic functions
  6 May 2022 0 repositories listed
• Bézier Curve Gaussian Processes
  3 May 2022 0 repositories listed
• Probabilistic Models for Manufacturing Lead Times
  28 Apr 2022 0 repositories listed
• Know Thy Student: Interactive Learning with Gaussian Processes
  26 Apr 2022 0 repositories listed
• Local Gaussian process extrapolation for BART models with applications to causal inference
  23 Apr 2022 0 repositories listed
• Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
  23 Apr 2022 0 repositories listed
• Inducing Gaussian Process Networks
  21 Apr 2022 0 repositories listed
• PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations
  6 Apr 2022 0 repositories listed
• Discovering and forecasting extreme events via active learning in neural operators
  5 Apr 2022 0 repositories listed
• INSPIRE: Distributed Bayesian Optimization for ImproviNg SPatIal REuse in Dense WLANs
  30 Mar 2022 0 repositories listed
• Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety
  29 Mar 2022 0 repositories listed
• Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
  26 Mar 2022 0 repositories listed
• Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes
  24 Mar 2022 0 repositories listed
• A Bayesian Approach for Shaft Centre Localisation in Journal Bearings
  22 Mar 2022 0 repositories listed
• Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
  14 Mar 2022 0 repositories listed
• Modelling variability in vibration-based PBSHM via a generalised population form
  14 Mar 2022 0 repositories listed
• On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel
  14 Mar 2022 0 repositories listed
• On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes
  14 Mar 2022 0 repositories listed
• Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression
  9 Mar 2022 0 repositories listed
• Evaluating feasibility of batteries for second-life applications using machine learning
  8 Mar 2022 0 repositories listed
• Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
  6 Mar 2022 0 repositories listed
• Building 3D Generative Models from Minimal Data
  4 Mar 2022 0 repositories listed
• GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control
  28 Feb 2022 0 repositories listed
• Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference
  25 Feb 2022 0 repositories listed
• Learning-Based Fault-Tolerant Control for an Hexarotor with Model Uncertainty
  25 Feb 2022 0 repositories listed
• Learning Invariant Weights in Neural Networks
  25 Feb 2022 0 repositories listed
• Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes
  23 Feb 2022 0 repositories listed
• Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  22 Feb 2022 0 repositories listed
• A Lifting Approach to Learning-Based Self-Triggered Control with Gaussian Processes
  21 Feb 2022 0 repositories listed
• Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
  18 Feb 2022 0 repositories listed
• Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes
  15 Feb 2022 0 repositories listed
• The Schrödinger Bridge between Gaussian Measures has a Closed Form
  11 Feb 2022 0 repositories listed
• Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
  8 Feb 2022 0 repositories listed
• Multi-model Ensemble Analysis with Neural Network Gaussian Processes
  8 Feb 2022 0 repositories listed
• Gaussian Graphical Models as an Ensemble Method for Distributed Gaussian Processes
  7 Feb 2022 0 repositories listed
• Variational Nearest Neighbor Gaussian Process
  3 Feb 2022 0 repositories listed
• A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
  26 Jan 2022 0 repositories listed
• Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder
  19 Jan 2022 0 repositories listed
• Online Time Series Anomaly Detection with State Space Gaussian Processes
  18 Jan 2022 0 repositories listed
• A visual exploration of Gaussian Processes and Infinite Neural Networks
  17 Jan 2022 0 repositories listed
• An Overview of Uncertainty Quantification Methods for Infinite Neural Networks
  13 Jan 2022 0 repositories listed
• Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes
  3 Jan 2022 0 repositories listed
• Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders
  1 Jan 2022 0 repositories listed
• Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems
  1 Jan 2022 0 repositories listed
• Rough multifactor volatility for SPX and VIX options
  28 Dec 2021 0 repositories listed
• Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness
  18 Dec 2021 0 repositories listed
• Correlated Product of Experts for Sparse Gaussian Process Regression
  17 Dec 2021 0 repositories listed
• Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use
  14 Dec 2021 0 repositories listed
• Learning Rigidity-based Flocking Control with Gaussian Processes
  14 Dec 2021 0 repositories listed
• Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow
  14 Dec 2021 0 repositories listed
• A Sparse Expansion For Deep Gaussian Processes
  11 Dec 2021 0 repositories listed
• Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
  10 Dec 2021 0 repositories listed
• Unified field theoretical approach to deep and recurrent neuronal networks
  10 Dec 2021 0 repositories listed
• Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
  8 Dec 2021 0 repositories listed
• A Bayesian take on option pricing with Gaussian processes
  7 Dec 2021 0 repositories listed
• Data Fusion with Latent Map Gaussian Processes
  4 Dec 2021 0 repositories listed
• A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation
  1 Dec 2021 0 repositories listed
• A universal probabilistic spike count model reveals ongoing modulation of neural variability
  1 Dec 2021 0 repositories listed
• Continuous-time edge modelling using non-parametric point processes
  1 Dec 2021 0 repositories listed
• Learning to Learn Dense Gaussian Processes for Few-Shot Learning
  1 Dec 2021 0 repositories listed
• Probability-Generating Function Kernels for Spherical Data
  1 Dec 2021 0 repositories listed
• Robust and Adaptive Temporal-Difference Learning Using An Ensemble of Gaussian Processes
  1 Dec 2021 0 repositories listed
• Structure-Aware Random Fourier Kernel for Graphs
  1 Dec 2021 0 repositories listed
• Contextual Combinatorial Multi-output GP Bandits with Group Constraints
  29 Nov 2021 0 repositories listed
• Dependence between Bayesian neural network units
  29 Nov 2021 0 repositories listed
• The Fixed-b Limiting Distribution and the ERP of HAR Tests Under Nonstationarity
  29 Nov 2021 0 repositories listed
• Improved Inverse-Free Variational Bounds for Sparse Gaussian Processes
  22 Nov 2021 0 repositories listed
• Non-separable Spatio-temporal Graph Kernels via SPDEs
  16 Nov 2021 0 repositories listed
• Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process
  16 Nov 2021 0 repositories listed
• Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes
  10 Nov 2021 0 repositories listed
• Optimizing Bayesian acquisition functions in Gaussian Processes
  9 Nov 2021 0 repositories listed