Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 10

Gaussian Process

Papers archive 2025-07-28

archive papers tagged: 2,473 · with a code link: 734 · where Syntology ran a sample: 155 (130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (155 of 2,473 tagged: 130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument)

Page 10 of 25: papers 901 to 1,000 of 2,473, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “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 instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. 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; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Multi-fidelity Monte Carlo: a pseudo-marginal approach
  4 Oct 2022 · 0 repositories · arXiv:2210.01534
• Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
  4 Oct 2022 · 1 repository · arXiv:2210.01881
• Physically Meaningful Uncertainty Quantification in Probabilistic Wind Turbine Power Curve Models as a Damage Sensitive Feature
  30 Sep 2022 · 0 repositories · arXiv:2209.15579
• Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process
  30 Sep 2022 · 0 repositories · arXiv:2209.15239
• Backflipping with Miniature Quadcopters by Gaussian Process Based Control and Planning
  29 Sep 2022 · 0 repositories · arXiv:2209.14652
• A connection between probability, physics and neural networks
  26 Sep 2022 · 0 repositories · arXiv:2209.12737
• An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications
  26 Sep 2022 · 0 repositories · arXiv:2209.12565
• One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels
  24 Sep 2022 · 0 repositories · arXiv:2209.12086
• Optimal Stopping with Gaussian Processes
  22 Sep 2022 · 0 repositories · arXiv:2209.14738
• Gaussian Process Hydrodynamics
  21 Sep 2022 · 0 repositories · arXiv:2209.10707
• Model Predictive Robustness of Signal Temporal Logic Predicates
  16 Sep 2022 · 0 repositories · arXiv:2209.07881
• Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing
  16 Sep 2022 · 1 repository · arXiv:2209.07660
• Computing XVA for American basket derivatives by Machine Learning techniques
  14 Sep 2022 · 0 repositories · arXiv:2209.06485
• Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
  14 Sep 2022 · 1 repository · arXiv:2209.06716
• Optimal Commutation for Switched Reluctance Motors using Gaussian Process Regression
  14 Sep 2022 · 0 repositories · arXiv:2209.06550
• Unsupervised representation learning with recognition-parametrised probabilistic models
  13 Sep 2022 · 2 repositories · arXiv:2209.05661
• Structured Recognition for Generative Models with Explaining Away
  12 Sep 2022 · 1 repository · arXiv:2209.05212
• Kernel Learning for Explainable Climate Science
  11 Sep 2022 · 1 repository · arXiv:2209.04947
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Fast Neural Kernel Embeddings for General Activations
  9 Sep 2022 · 2 repositories · arXiv:2209.04121
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Multi-objective hyperparameter optimization with performance uncertainty
  9 Sep 2022 · 0 repositories · arXiv:2209.04340
• Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems
  9 Sep 2022 · 0 repositories · arXiv:2209.04508
• A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services
  7 Sep 2022 · 0 repositories · arXiv:2209.03214
• Optimal Sensor Placement in Body Surface Networks using Gaussian Processes
  7 Sep 2022 · 0 repositories · arXiv:2209.02912
• SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design
  7 Sep 2022 · 0 repositories · arXiv:2209.03438
• A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
  6 Sep 2022 · 1 repository · arXiv:2209.02816
  Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 12 harvested samples)
• On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions
  5 Sep 2022 · 0 repositories · arXiv:2209.02001
• Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems
  4 Sep 2022 · 0 repositories · arXiv:2209.01703
• Bézier Gaussian Processes for Tall and Wide Data
  1 Sep 2022 · 0 repositories · arXiv:2209.00343
• Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation
  1 Sep 2022 · 1 repository · arXiv:2209.00514
• Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process
  31 Aug 2022 · 0 repositories · arXiv:2208.14871
• Monotonic Gaussian process for physics-constrained machine learning with materials science applications
  31 Aug 2022 · 0 repositories · arXiv:2209.00628
• Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
  31 Aug 2022 · 1 repository · arXiv:2208.14960
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Bayesian Neural Network Language Modeling for Speech Recognition
  28 Aug 2022 · 1 repository · arXiv:2208.13259
• Mixtures of Gaussian Process Experts with SMC²
  26 Aug 2022 · 0 repositories · arXiv:2208.12830
• A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method
  25 Aug 2022 · 0 repositories · arXiv:2208.12118
• Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives
  25 Aug 2022 · 0 repositories · arXiv:2208.12217
• Fast emulation of density functional theory simulations using approximate Gaussian processes
  24 Aug 2022 · 0 repositories · arXiv:2208.11302
• Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity
  23 Aug 2022 · 0 repositories · arXiv:2208.10784
• Event-Triggered Time-Varying Bayesian Optimization
  23 Aug 2022 · 1 repository · arXiv:2208.10790
• Scale invariant process regression: Towards Bayesian ML with minimal assumptions
  22 Aug 2022 · 0 repositories · arXiv:2208.10461
• Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm
  21 Aug 2022 · 0 repositories · arXiv:2208.09953
• Predicting the Masses of Exotic Hadrons with Data Augmentation Using Multilayer Perceptron
  19 Aug 2022 · 0 repositories · arXiv:2208.09538
• Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
  18 Aug 2022 · 2 repositories · arXiv:2208.08645
• Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process
  16 Aug 2022 · 1 repository · arXiv:2208.07735
• Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
  12 Aug 2022 · 1 repository · arXiv:2208.06528
• Gaussian Process Surrogate Models for Neural Networks
  11 Aug 2022 · 0 repositories · arXiv:2208.06028
• Deep Maxout Network Gaussian Process
  8 Aug 2022 · 0 repositories · arXiv:2208.04468
• Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion
  2 Aug 2022 · 0 repositories · arXiv:2208.01518
• A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections
  28 Jul 2022 · 0 repositories · arXiv:2207.14145
• On Controller Tuning with Time-Varying Bayesian Optimization
  22 Jul 2022 · 2 repositories · arXiv:2207.11120
• Data-Driven Stochastic AC-OPF using Gaussian Processes
  21 Jul 2022 · 1 repository · arXiv:2207.10781
• Inference of Regulatory Networks Through Temporally Sparse Data
  21 Jul 2022 · 0 repositories · arXiv:2207.12124
• A Convolutional Neural Network Approach to Supernova Time-Series Classification
  19 Jul 2022 · 0 repositories · arXiv:2207.09440
• Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression
  17 Jul 2022 · 1 repository · arXiv:2207.08317
• A Singular Woodbury and Pseudo-Determinant Matrix Identities and Application to Gaussian Process Regression
  16 Jul 2022 · 2 repositories · arXiv:2207.08038
• Distributed Safe Learning and Planning for Multi-robot Systems
  16 Jul 2022 · 0 repositories · arXiv:2207.07824
• Collaborative Learning in Kernel-based Bandits for Distributed Users
  16 Jul 2022 · 0 repositories · arXiv:2207.07948
• Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes
  16 Jul 2022 · 0 repositories · arXiv:2207.07654
• Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  13 Jul 2022 · 1 repository · arXiv:2207.06544
• Markovian Gaussian Process Variational Autoencoders
  12 Jul 2022 · 1 repository · arXiv:2207.05543
  Syntology 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 5 harvested samples)
• Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
  11 Jul 2022 · 0 repositories · arXiv:2207.04994
• Nonparametric Embeddings of Sparse High-Order Interaction Events
  8 Jul 2022 · 0 repositories · arXiv:2207.03639
• Clustering of Excursion Sets in Financial Market
  7 Jul 2022 · 0 repositories · arXiv:2207.03221
• Pre-training helps Bayesian optimization too
  7 Jul 2022 · 1 repository · arXiv:2207.03084
  Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 12 harvested samples)
• Tractable Data Enriched Distributionally Robust Chance-Constrained CVR
  7 Jul 2022 · 0 repositories · arXiv:2207.03286
• Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
  6 Jul 2022 · 1 repository · arXiv:2207.02446
  Syntology 3 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia
  6 Jul 2022 · 0 repositories · arXiv:2207.02482
• Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
  4 Jul 2022 · 1 repository · arXiv:2207.01242
• Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction
  3 Jul 2022 · 0 repositories · arXiv:2207.01019
• Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units
  2 Jul 2022 · 0 repositories · arXiv:2207.00745
• Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
  2 Jul 2022 · 1 repository · arXiv:2207.00879
• Physics-informed machine learning for Structural Health Monitoring
  30 Jun 2022 · 0 repositories · arXiv:2206.15303
• Memory Safe Computations with XLA Compiler
  28 Jun 2022 · 1 repository · arXiv:2206.14148
• Uncertainty Calibration for Deep Audio Classifiers
  27 Jun 2022 · 1 repository · arXiv:2206.13071
• Adaptive Nonlinear Regulation via Gaussian Process
  24 Jun 2022 · 0 repositories · arXiv:2206.12225
• Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
  24 Jun 2022 · 0 repositories · arXiv:2206.12141
• Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes
  24 Jun 2022 · 0 repositories · arXiv:2206.12272
• Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks
  23 Jun 2022 · 0 repositories · arXiv:2206.12258
• Additive Gaussian Processes Revisited
  20 Jun 2022 · 1 repository · arXiv:2206.09861
  Syntology official (archive's flag): 1 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
• Noise Estimation in Gaussian Process Regression
  20 Jun 2022 · 1 repository · arXiv:2206.09976
• Bayesian Optimization under Stochastic Delayed Feedback
  19 Jun 2022 · 1 repository · arXiv:2206.09341
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Nonparametric Multi-shape Modeling with Uncertainty Quantification
  18 Jun 2022 · 0 repositories · arXiv:2206.09127
• On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring
  17 Jun 2022 · 0 repositories · arXiv:2206.08600
• Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification
  17 Jun 2022 · 0 repositories · arXiv:2206.08950
• Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
  16 Jun 2022 · 1 repository · arXiv:2206.08366
• Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
  15 Jun 2022 · 1 repository · arXiv:2206.07673
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 4 harvested samples) · 3 pointer-only (licence)
• Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates
  13 Jun 2022 · 0 repositories · arXiv:2206.06462
• Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process
  13 Jun 2022 · 0 repositories · arXiv:2206.06357
• Modeling the Machine Learning Multiverse
  13 Jun 2022 · 0 repositories · arXiv:2206.05985
• Weighted Ensembles for Active Learning with Adaptivity
  10 Jun 2022 · 0 repositories · arXiv:2206.05009
• Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
  7 Jun 2022 · 1 repository · arXiv:2206.03034
• Constraining Gaussian processes for physics-informed acoustic emission mapping
  3 Jun 2022 · 0 repositories · arXiv:2206.01495
• Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
  3 Jun 2022 · 0 repositories · arXiv:2206.02563
• Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning
  31 May 2022 · 2 repositories · arXiv:2205.15510
• Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
  30 May 2022 · 0 repositories · arXiv:2205.15458
• Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification
  30 May 2022 · 0 repositories · arXiv:2205.15008
• Surrogate modeling for Bayesian optimization beyond a single Gaussian process
  27 May 2022 · 0 repositories · arXiv:2205.14090
• Targeted Adaptive Design
  27 May 2022 · 0 repositories · arXiv:2205.14208
• Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data
  26 May 2022 · 0 repositories · arXiv:2205.13545
• Towards Learning Universal Hyperparameter Optimizers with Transformers
  26 May 2022 · 1 repository · arXiv:2205.13320