Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 7

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 7 of 25: papers 601 to 700 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.

• On the Identifiability and Interpretability of Gaussian Process Models
  21 Sep 2023 · 0 repositories
• Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes
  21 Sep 2023 · 1 repository · arXiv:2309.11875
• Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
  20 Sep 2023 · 0 repositories · arXiv:2309.11076
• A spectrum of physics-informed Gaussian processes for regression in engineering
  19 Sep 2023 · 0 repositories · arXiv:2309.10656
• Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning
  19 Sep 2023 · 0 repositories · arXiv:2311.12807
• A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
  18 Sep 2023 · 0 repositories · arXiv:2309.10068
• Convolutional Deep Kernel Machines
  18 Sep 2023 · 1 repository · arXiv:2309.09814
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows
  17 Sep 2023 · 1 repository · arXiv:2309.09222
• Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts
  17 Sep 2023 · 0 repositories · arXiv:2309.09203
• Estimation of Counterfactual Interventions under Uncertainties
  15 Sep 2023 · 0 repositories · arXiv:2309.08332
• To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
  15 Sep 2023 · 1 repository · arXiv:2309.08165
• Scalable Model-Based Gaussian Process Clustering
  14 Sep 2023 · 0 repositories · arXiv:2309.07882
• Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models
  13 Sep 2023 · 0 repositories · arXiv:2309.06655
• CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization
  11 Sep 2023 · 1 repository · arXiv:2309.05200
• Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
  8 Sep 2023 · 0 repositories · arXiv:2309.04522
• Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning
  8 Sep 2023 · 0 repositories · arXiv:2309.04510
• Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning
  8 Sep 2023 · 0 repositories · arXiv:2309.04420
• A computationally lightweight safe learning algorithm
  7 Sep 2023 · 0 repositories · arXiv:2309.03672
• Exact Inference for Continuous-Time Gaussian Process Dynamics
  5 Sep 2023 · 0 repositories · arXiv:2309.02351
• Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
  3 Sep 2023 · 2 repositories · arXiv:2309.01074
• Learning Robust Model Predictive Control for Voltage Control of Islanded Microgrid
  1 Sep 2023 · 0 repositories · arXiv:2309.00742
• Distributed multi-agent target search and tracking with Gaussian process and reinforcement learning
  29 Aug 2023 · 0 repositories · arXiv:2308.14971
• Multi-Response Heteroscedastic Gaussian Process Models and Their Inference
  29 Aug 2023 · 0 repositories · arXiv:2308.15370
• Comprehensive performance comparison among different types of features in data-driven battery state of health estimation
  27 Aug 2023 · 0 repositories · arXiv:2308.13993
• On Active Learning for Gaussian Process-based Global Sensitivity Analysis
  27 Aug 2023 · 0 repositories · arXiv:2308.14220
• Splash! Robustifying Donor Pools for Policy Studies
  25 Aug 2023 · 0 repositories · arXiv:2308.13688
• Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0
  23 Aug 2023 · 1 repository · arXiv:2308.11854
• A physics-informed machine learning model for reconstruction of dynamic loads
  15 Aug 2023 · 0 repositories · arXiv:2308.08571
• Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning
  15 Aug 2023 · 0 repositories · arXiv:2308.07867
• GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
  10 Aug 2023 · 1 repository · arXiv:2308.05882
  Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 12 harvested samples)
• Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets
  9 Aug 2023 · 0 repositories · arXiv:2308.04660
• Learning-Rate-Free Learning: Dissecting D-Adaptation and Probabilistic Line Search
  6 Aug 2023 · 0 repositories · arXiv:2308.03102
• Bayesian framework for characterizing cryptocurrency market dynamics, structural dependency, and volatility using potential field
  2 Aug 2023 · 0 repositories · arXiv:2308.01013
• A theory of data variability in Neural Network Bayesian inference
  31 Jul 2023 · 0 repositories · arXiv:2307.16695
• Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy
  26 Jul 2023 · 0 repositories · arXiv:2307.13945
• GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers
  25 Jul 2023 · 1 repository · arXiv:2307.13251
  Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 14 harvested samples) · 4 pointer-only (licence)
• Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
  25 Jul 2023 · 0 repositories · arXiv:2307.13371
• Efficient Gaussian Process Classification-based Physical-Layer Authentication with Configurable Fingerprints for 6G-Enabled IoT
  23 Jul 2023 · 0 repositories · arXiv:2307.12263
• Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter
  20 Jul 2023 · 1 repository · arXiv:2307.10541
• On the Sublinear Regret of GP-UCB
  14 Jul 2023 · 0 repositories · arXiv:2307.07539
• Sequential Monte Carlo Learning for Time Series Structure Discovery
  13 Jul 2023 · 2 repositories · arXiv:2307.09607
  Syntology community repositories only · 1 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; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Quantitative CLTs in Deep Neural Networks
  12 Jul 2023 · 0 repositories · arXiv:2307.06092
• Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks
  12 Jul 2023 · 0 repositories · arXiv:2307.06362
• Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors
  10 Jul 2023 · 0 repositories · arXiv:2307.04415
• GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments
  8 Jul 2023 · 1 repository · arXiv:2307.04019
• Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling
  5 Jul 2023 · 0 repositories · arXiv:2307.02572
• Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
  5 Jul 2023 · 0 repositories · arXiv:2307.02367
• An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography
  3 Jul 2023 · 1 repository · arXiv:2307.00904
• Efficient Determination of Safety Requirements for Perception Systems
  3 Jul 2023 · 0 repositories · arXiv:2307.01371
• Learning thermodynamically constrained equations of state with uncertainty
  29 Jun 2023 · 1 repository · arXiv:2306.17004
• Gaussian random field approximation via Stein's method with applications to wide random neural networks
  28 Jun 2023 · 0 repositories · arXiv:2306.16308
• Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
  26 Jun 2023 · 0 repositories · arXiv:2306.14430
• Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms
  25 Jun 2023 · 0 repositories · arXiv:2306.15695
• Adaptive Planning Search Algorithm for Analog Circuit Verification
  23 Jun 2023 · 0 repositories · arXiv:2306.13484
• Optimistic Active Exploration of Dynamical Systems
  21 Jun 2023 · 0 repositories · arXiv:2306.12371
• Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks
  20 Jun 2023 · 1 repository · arXiv:2306.11487
• Time-Varying Transition Matrices with Multi-task Gaussian Processes
  20 Jun 2023 · 0 repositories · arXiv:2306.11772
• Uncertainty Estimation for Molecules: Desiderata and Methods
  20 Jun 2023 · 1 repository · arXiv:2306.14916
• Accelerated, physics-inspired inference of skeletal muscle microstructure from diffusion-weighted MRI
  19 Jun 2023 · 0 repositories · arXiv:2306.11125
• Practical First-Order Bayesian Optimization Algorithms
  19 Jun 2023 · 0 repositories · arXiv:2306.10815
• Unsupervised Anomaly Detection via Nonlinear Manifold Learning
  15 Jun 2023 · 0 repositories · arXiv:2306.09441
• Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
  14 Jun 2023 · 1 repository · arXiv:2306.08352
• Predicting Real-time Crash Risks during Hurricane Evacuation Using Connected Vehicle Data
  14 Jun 2023 · 0 repositories · arXiv:2306.08682
• Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
  11 Jun 2023 · 0 repositories · arXiv:2306.07299
• Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences
  9 Jun 2023 · 0 repositories · arXiv:2306.06296
• Data Mining for Faster, Interpretable Solutions to Inverse Problems: A Case Study Using Additive Manufacturing
  7 Jun 2023 · 0 repositories · arXiv:2306.04228
• Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
  7 Jun 2023 · 1 repository · arXiv:2306.04201
  Syntology official (archive's flag): 13 ran · 18 ran (of which 0 constructed an object rather than computing a result; 18 with no instrument failure: 0 honoured, 0 violated, 18 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 19 harvested samples)
• Graph Classification Gaussian Processes via Spectral Features
  6 Jun 2023 · 0 repositories · arXiv:2306.03770
• Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes
  6 Jun 2023 · 0 repositories · arXiv:2306.03405
• Global universal approximation of functional input maps on weighted spaces
  5 Jun 2023 · 1 repository · arXiv:2306.03303
• Multiple output samples per input in a single-output Gaussian process
  5 Jun 2023 · 0 repositories · arXiv:2306.02719
• Linked Deep Gaussian Process Emulation for Model Networks
  2 Jun 2023 · 2 repositories · arXiv:2306.01212
• Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression
  1 Jun 2023 · 0 repositories · arXiv:2306.01188
• Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
  1 Jun 2023 · 1 repository · arXiv:2306.01095
• Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
  1 Jun 2023 · 0 repositories · arXiv:2306.01802
• A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
  31 May 2023 · 2 repositories · arXiv:2305.20028
• Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya
  31 May 2023 · 2 repositories · arXiv:2305.19779
• Parallelized Acquisition for Active Learning using Monte Carlo Sampling
  30 May 2023 · 1 repository · arXiv:2305.19267
• Prediction Error-based Classification for Class-Incremental Learning
  30 May 2023 · 1 repository · arXiv:2305.18806
  Syntology official (archive's flag): 8 ran · 8 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 11 harvested samples)
• A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
  28 May 2023 · 0 repositories · arXiv:2305.18406
• PFNs4BO: In-Context Learning for Bayesian Optimization
  27 May 2023 · 1 repository · arXiv:2305.17535
  Syntology official (archive's flag): 7 ran · 20 ran (of which 7 constructed an object rather than computing a result; 16 with no instrument failure: 0 honoured, 1 violated, 15 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (of 23 harvested samples)
• Gaussian Processes with State-Dependent Noise for Stochastic Control
  25 May 2023 · 0 repositories · arXiv:2305.16229
• Privacy-aware Gaussian Process Regression
  25 May 2023 · 0 repositories · arXiv:2305.16541
• Sample-Efficient Learning for a Surrogate Model of Three-Phase Distribution System
  24 May 2023 · 0 repositories · arXiv:2305.14799
• The Behavior and Convergence of Local Bayesian Optimization
  24 May 2023 · 1 repository · arXiv:2305.15572
• Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
  24 May 2023 · 0 repositories · arXiv:2305.16350
• Kernel Interpolation with Sparse Grids
  23 May 2023 · 1 repository · arXiv:2305.14451
  Syntology official (archive's flag): 2 ran · 2 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; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• An Improved Variational Approximate Posterior for the Deep Wishart Process
  23 May 2023 · 0 repositories · arXiv:2305.14454
• Deep Pipeline Embeddings for AutoML
  23 May 2023 · 1 repository · arXiv:2305.14009
• Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
  23 May 2023 · 1 repository · arXiv:2305.14543
• Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis
  23 May 2023 · 0 repositories · arXiv:2305.13879
• Bayesian Numerical Integration with Neural Networks
  22 May 2023 · 1 repository · arXiv:2305.13248
• Multirotor Ensemble Model Predictive Control I: Simulation Experiments
  22 May 2023 · 0 repositories · arXiv:2305.12625
• PDE-constrained Gaussian process surrogate modeling with uncertain data locations
  19 May 2023 · 1 repository · arXiv:2305.11586
• Dynamic Term Structure Models with Nonlinearities using Gaussian Processes
  18 May 2023 · 0 repositories · arXiv:2305.11001
• Physics Inspired Approaches To Understanding Gaussian Processes
  18 May 2023 · 1 repository · arXiv:2305.10748
• Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
  18 May 2023 · 1 repository · arXiv:2305.10664
• A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
  17 May 2023 · 0 repositories · arXiv:2305.10158
• Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks
  17 May 2023 · 0 repositories · arXiv:2305.10550
• Conditional variational autoencoder with Gaussian process regression recognition for parametric models
  16 May 2023 · 0 repositories · arXiv:2305.09625