Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 17

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 17 of 25: papers 1,601 to 1,700 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.

• Additive interaction modelling using I-priors
  30 Jul 2020 · 1 repository · arXiv:2007.15766
• Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
  29 Jul 2020 · 2 repositories · arXiv:2007.14994
• Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment
  28 Jul 2020 · 1 repository · arXiv:2007.14052
• Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
  23 Jul 2020 · 0 repositories · arXiv:2007.12167
• Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks
  21 Jul 2020 · 0 repositories · arXiv:2007.11994
• MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
  21 Jul 2020 · 1 repository · arXiv:2007.10731
• Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
  21 Jul 2020 · 1 repository · arXiv:2007.12261
• Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
  20 Jul 2020 · 2 repositories · arXiv:2007.10417
• Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
  20 Jul 2020 · 0 repositories · arXiv:2007.09953
• Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach
  17 Jul 2020 · 0 repositories · arXiv:2007.10109
• Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: Generalized Formulations
  14 Jul 2020 · 0 repositories · arXiv:2007.07762
• Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race
  14 Jul 2020 · 0 repositories · arXiv:2007.07369
• State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes
  12 Jul 2020 · 1 repository · arXiv:2007.05994
  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) · 2 unverified (of 10 harvested samples)
• Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis
  11 Jul 2020 · 0 repositories · arXiv:2007.05751
• Numerical simulation, clustering and prediction of multi-component polymer precipitation
  10 Jul 2020 · 1 repository · arXiv:2007.07276
• Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
  9 Jul 2020 · 0 repositories · arXiv:2007.05057
• Understanding the effect of hyperparameter optimization on machine learning models for structure design problems
  4 Jul 2020 · 0 repositories · arXiv:2007.04431
• Gaussian Process Regression with Local Explanation
  3 Jul 2020 · 0 repositories · arXiv:2007.01669
• BOSH: Bayesian Optimization by Sampling Hierarchically
  2 Jul 2020 · 0 repositories · arXiv:2007.00939
• High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
  2 Jul 2020 · 1 repository · arXiv:2007.00925
• Wearable Respiration Monitoring: Interpretable Inference with Context and Sensor Biomarkers
  2 Jul 2020 · 0 repositories · arXiv:2007.01413
• Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
  29 Jun 2020 · 1 repository · arXiv:2006.15779
  Syntology 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
  29 Jun 2020 · 0 repositories · arXiv:2006.15924
• Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
  27 Jun 2020 · 0 repositories · arXiv:2006.15273
• Epoch-evolving Gaussian Process Guided Learning
  25 Jun 2020 · 1 repository · arXiv:2006.14347
• Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization
  25 Jun 2020 · 0 repositories · arXiv:2006.14233
• Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry
  25 Jun 2020 · 0 repositories · arXiv:2006.14266
• Prediction with Approximated Gaussian Process Dynamical Models
  25 Jun 2020 · 0 repositories · arXiv:2006.14551
• Likelihood-Free Gaussian Process for Regression
  24 Jun 2020 · 0 repositories · arXiv:2006.13456
• Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization
  24 Jun 2020 · 1 repository · arXiv:2006.14061
• Variational Orthogonal Features
  23 Jun 2020 · 0 repositories · arXiv:2006.13170
• Bayesian Quadrature Optimization for Probability Threshold Robustness Measure
  22 Jun 2020 · 0 repositories · arXiv:2006.11986
• Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
  22 Jun 2020 · 1 repository · arXiv:2006.12335
• Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
  19 Jun 2020 · 1 repository · arXiv:2006.11441
• Exact posterior distributions of wide Bayesian neural networks
  18 Jun 2020 · 1 repository · arXiv:2006.10541
• Likelihood-Free Inference with Deep Gaussian Processes
  18 Jun 2020 · 1 repository · arXiv:2006.10571
• GPIRT: A Gaussian Process Model for Item Response Theory
  17 Jun 2020 · 0 repositories · arXiv:2006.09900
• Longitudinal Variational Autoencoder
  17 Jun 2020 · 0 repositories · arXiv:2006.09763
• Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
  17 Jun 2020 · 4 repositories · arXiv:2006.10108
  Syntology official (archive's flag): 1 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
• A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
  16 Jun 2020 · 0 repositories · arXiv:2006.09319
• Real-Time Regression with Dividing Local Gaussian Processes
  16 Jun 2020 · 0 repositories · arXiv:2006.09446
• Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
  15 Jun 2020 · 1 repository · arXiv:2006.08684
• Sparse Gaussian Process Based On Hat Basis Functions
  15 Jun 2020 · 0 repositories · arXiv:2006.08117
• Variational Bayesian Monte Carlo with Noisy Likelihoods
  15 Jun 2020 · 2 repositories · arXiv:2006.08655
• GP3: A Sampling-based Analysis Framework for Gaussian Processes
  14 Jun 2020 · 0 repositories · arXiv:2006.07871
• Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression
  14 Jun 2020 · 0 repositories · arXiv:2006.07868
• Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
  13 Jun 2020 · 1 repository · arXiv:2006.07556
  Syntology 15 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 0 violated, 13 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 19 harvested samples)
• Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
  13 Jun 2020 · 1 repository · arXiv:2006.07593
  Syntology official (archive's flag): 3 ran · 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Fourier Sparse Leverage Scores and Approximate Kernel Learning
  12 Jun 2020 · 0 repositories · arXiv:2006.07340
• Gaussian Processes on Graphs via Spectral Kernel Learning
  12 Jun 2020 · 0 repositories · arXiv:2006.07361
• Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
  12 Jun 2020 · 1 repository · arXiv:2006.07429
  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)
• SAMBA: Safe Model-Based & Active Reinforcement Learning
  12 Jun 2020 · 1 repository · arXiv:2006.09436
• Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
  12 Jun 2020 · 1 repository · arXiv:2006.07027
• Time-Resolved fMRI Shared Response Model using Gaussian Process Factor Analysis
  10 Jun 2020 · 0 repositories · arXiv:2006.05572
• Bayesian Probabilistic Numerical Integration with Tree-Based Models
  9 Jun 2020 · 1 repository · arXiv:2006.05371
• Scalable Thompson Sampling using Sparse Gaussian Process Models
  9 Jun 2020 · 0 repositories · arXiv:2006.05356
• Variational Auto-Regressive Gaussian Processes for Continual Learning
  9 Jun 2020 · 1 repository · arXiv:2006.05468
  Syntology official (archive's flag): 10 ran · 10 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; 7 where Syntology's instrument failed) · 1 unverified (of 11 harvested samples)
• Learning compositional models of robot skills for task and motion planning
  8 Jun 2020 · 1 repository · arXiv:2006.06444
• Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
  8 Jun 2020 · 1 repository · arXiv:2006.04972
• Physics Informed Deep Kernel Learning
  8 Jun 2020 · 0 repositories · arXiv:2006.04976
• Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
  8 Jun 2020 · 1 repository · arXiv:2006.04296
  Syntology official (archive's flag): 1 ran · 1 ran (of which 1 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; the one sample that ran constructed an object rather than computing a result (of 1 harvested sample)
• Schrödinger PCA: On the Duality between Principal Component Analysis and Schrödinger Equation
  8 Jun 2020 · 0 repositories · arXiv:2006.04379
• tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder
  8 Jun 2020 · 0 repositories · arXiv:2006.04788
• A conditional one-output likelihood formulation for multitask Gaussian processes
  5 Jun 2020 · 1 repository · arXiv:2006.03495
• Health Indicator Forecasting for Improving Remaining Useful Life Estimation
  5 Jun 2020 · 0 repositories · arXiv:2006.03729
• Sparse Gaussian Processes via Parametric Families of Compactly-supported Kernels
  5 Jun 2020 · 0 repositories · arXiv:2006.03673
• Quadruply Stochastic Gaussian Processes
  4 Jun 2020 · 1 repository · arXiv:2006.03015
• Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
  3 Jun 2020 · 0 repositories · arXiv:2006.02105
• Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
  3 Jun 2020 · 0 repositories · arXiv:2006.02489
• Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models
  2 Jun 2020 · 0 repositories · arXiv:2006.01983
• GP-NAS: Gaussian Process Based Neural Architecture Search
  1 Jun 2020 · 0 repositories
• Semi-supervised deep learning for high-dimensional uncertainty quantification
  1 Jun 2020 · 0 repositories · arXiv:2006.01010
• Video Instance Segmentation Tracking With a Modified VAE Architecture
  1 Jun 2020 · 0 repositories
• Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process
  28 May 2020 · 0 repositories · arXiv:2005.14181
• Codebook-Based Beam Tracking for Conformal ArrayEnabled UAV MmWave Networks
  28 May 2020 · 0 repositories · arXiv:2005.14064
• SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
  27 May 2020 · 2 repositories · arXiv:2005.13166
• Analysis of protrusion dynamics in amoeboid cell motility by means of regularized contour flows
  26 May 2020 · 0 repositories · arXiv:2005.12678
• Daily Middle-Term Probabilistic Forecasting of Power Consumption in North-East England
  26 May 2020 · 0 repositories · arXiv:2005.13005
• How Training Data Impacts Performance in Learning-based Control
  25 May 2020 · 0 repositories · arXiv:2005.12062
• Path Imputation Strategies for Signature Models of Irregular Time Series
  25 May 2020 · 2 repositories · arXiv:2005.12359
  Syntology 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Longitudinal Deep Kernel Gaussian Process Regression
  24 May 2020 · 0 repositories · arXiv:2005.11770
• Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
  22 May 2020 · 0 repositories · arXiv:2005.11375
• Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions
  22 May 2020 · 0 repositories · arXiv:2005.12787
• MANGO: A Python Library for Parallel Hyperparameter Tuning
  22 May 2020 · 1 repository · arXiv:2005.11394
• Global Optimization of Gaussian processes
  21 May 2020 · 0 repositories · arXiv:2005.10902
• Deep Latent-Variable Kernel Learning
  18 May 2020 · 1 repository · arXiv:2005.08467
• Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes
  18 May 2020 · 0 repositories · arXiv:2005.08434
• Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
  17 May 2020 · 1 repository · arXiv:2005.08140
  Syntology official (archive's flag): 6 ran · 6 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 2 where Syntology's instrument failed) · 7 unverified (of 13 harvested samples) · 13 pointer-only (licence)
• When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
  13 May 2020 · 1 repository · arXiv:2005.08837
• Machine learning based digital twin for dynamical systems with multiple time-scales
  12 May 2020 · 0 repositories · arXiv:2005.05862
• Multi-Fidelity Gaussian Process based Empirical Potential Development for Si:H Nanowires
  11 May 2020 · 0 repositories · arXiv:2005.08638
• Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS
  11 May 2020 · 0 repositories · arXiv:2005.04832
• Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design
  11 May 2020 · 0 repositories · arXiv:2005.05067
• A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
  7 May 2020 · 1 repository · arXiv:2005.03780
• Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
  7 May 2020 · 0 repositories · arXiv:2005.03357
• Planning from Images with Deep Latent Gaussian Process Dynamics
  7 May 2020 · 1 repository · arXiv:2005.03770
• Active Preference-Based Gaussian Process Regression for Reward Learning
  6 May 2020 · 1 repository · arXiv:2005.02575
  Syntology official (archive's flag): 1 ran · 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) · 2 unverified (of 3 harvested samples)
• Using Machine Learning to Emulate Agent-Based Simulations
  5 May 2020 · 1 repository · arXiv:2005.02077
• Localized active learning of Gaussian process state space models
  4 May 2020 · 0 repositories · arXiv:2005.02191
• Evaluation of Deep Gaussian Processes for Text Classification
  1 May 2020 · 0 repositories