Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 22

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 22 of 25: papers 2,101 to 2,200 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.

• Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots
  27 Apr 2018 · 0 repositories · arXiv:1804.10544
• Learning Manifolds from Non-stationary Streaming Data
  24 Apr 2018 · 0 repositories · arXiv:1804.08833
• Gaussian Material Synthesis
  23 Apr 2018 · 0 repositories · arXiv:1804.08369
• A sequential sampling strategy for extreme event statistics in nonlinear dynamical systems
  19 Apr 2018 · 0 repositories · arXiv:1804.07240
• Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs
  12 Apr 2018 · 3 repositories · arXiv:1804.04378
• Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps
  5 Apr 2018 · 0 repositories · arXiv:1804.01926
• Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality
  4 Apr 2018 · 0 repositories · arXiv:1804.01296
• Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models
  28 Mar 2018 · 0 repositories · arXiv:1803.10746
• Distributed Adaptive Sampling for Kernel Matrix Approximation
  27 Mar 2018 · 0 repositories · arXiv:1803.10172
• Learning-based Model Predictive Control for Safe Exploration
  22 Mar 2018 · 1 repository · arXiv:1803.08287
  Syntology 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) · 2 unverified (of 4 harvested samples)
• A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
  20 Mar 2018 · 0 repositories · arXiv:1803.07682
• A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents
  17 Mar 2018 · 0 repositories · arXiv:1803.06579
• Constant-Time Predictive Distributions for Gaussian Processes
  16 Mar 2018 · 1 repository · arXiv:1803.06058
• Capturing Structure Implicitly from Time-Series having Limited Data
  15 Mar 2018 · 1 repository · arXiv:1803.05867
• Gaussian Processes Over Graphs
  15 Mar 2018 · 0 repositories · arXiv:1803.05776
• Variational zero-inflated Gaussian processes with sparse kernels
  13 Mar 2018 · 1 repository · arXiv:1803.05036
• Conditionally Independent Multiresolution Gaussian Processes
  25 Feb 2018 · 1 repository · arXiv:1802.09086
• Learning Causally-Generated Stationary Time Series
  22 Feb 2018 · 0 repositories · arXiv:1802.08167
• Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13)
  22 Feb 2018 · 1 repository · arXiv:1802.08561
• Emulating dynamic non-linear simulators using Gaussian processes
  21 Feb 2018 · 0 repositories · arXiv:1802.07575
• AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
  20 Feb 2018 · 1 repository · arXiv:1802.07207
• Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
  12 Feb 2018 · 0 repositories · arXiv:1802.04170
• Gaussian Process Classification with Privileged Information by Soft-to-Hard Labeling Transfer
  12 Feb 2018 · 0 repositories · arXiv:1802.03877
• Gaussian Process Landmarking on Manifolds
  9 Feb 2018 · 0 repositories · arXiv:1802.03479
• Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models
  9 Feb 2018 · 0 repositories · arXiv:1802.03257
• Practical Transfer Learning for Bayesian Optimization
  6 Feb 2018 · 2 repositories · arXiv:1802.02219
  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) · 0 unverified (of 2 harvested samples)
• Deep Learning based Retinal OCT Segmentation
  29 Jan 2018 · 0 repositories · arXiv:1801.09749
• Algorithmic Linearly Constrained Gaussian Processes
  28 Jan 2018 · 0 repositories · arXiv:1801.09197
• When Vehicles See Pedestrians with Phones:A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians
  24 Jan 2018 · 0 repositories · arXiv:1801.08234
• Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case Study
  22 Jan 2018 · 1 repository · arXiv:1801.07318
• Upgrading from Gaussian Processes to Student's-T Processes
  18 Jan 2018 · 0 repositories · arXiv:1801.06147
• Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification
  3 Jan 2018 · 0 repositories · arXiv:1801.01397
• Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks
  1 Jan 2018 · 0 repositories
• Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks
  25 Dec 2017 · 0 repositories · arXiv:1801.00711
• Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data
  21 Dec 2017 · 0 repositories · arXiv:1712.08240
• Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
  21 Dec 2017 · 2 repositories · arXiv:1712.08048
• Safe Policy Search with Gaussian Process Models
  15 Dec 2017 · 1 repository · arXiv:1712.05556
• Practical Bayesian optimization in the presence of outliers
  12 Dec 2017 · 0 repositories · arXiv:1712.04567
• Shape optimization in laminar flow with a label-guided variational autoencoder
  10 Dec 2017 · 0 repositories · arXiv:1712.03599
• Gaussian Process Regression for Arctic Coastal Erosion Forecasting
  4 Dec 2017 · 0 repositories · arXiv:1712.00867
• Cross-Spectral Factor Analysis
  1 Dec 2017 · 0 repositories
• Novel Exploration Techniques (NETs) for Malaria Policy Interventions
  1 Dec 2017 · 0 repositories · arXiv:1712.00428
• Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression
  1 Dec 2017 · 1 repository · arXiv:1712.00181
• Targeting EEG/LFP Synchrony with Neural Nets
  1 Dec 2017 · 0 repositories
• Variational Inference via χ Upper Bound Minimization
  1 Dec 2017 · 0 repositories
• A Neural Stochastic Volatility Model
  30 Nov 2017 · 0 repositories · arXiv:1712.00504
• Scalable synthesis of safety certificates from data with application to learning-based control
  30 Nov 2017 · 0 repositories · arXiv:1711.11417
• Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes
  30 Nov 2017 · 1 repository · arXiv:1712.00117
• Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation
  30 Nov 2017 · 0 repositories · arXiv:1711.11486
• Gaussian Process Neurons Learn Stochastic Activation Functions
  29 Nov 2017 · 0 repositories · arXiv:1711.11059
• Dependent relevance determination for smooth and structured sparse regression
  28 Nov 2017 · 1 repository · arXiv:1711.10058
• Variational Inference for Gaussian Process Models with Linear Complexity
  28 Nov 2017 · 0 repositories · arXiv:1711.10127
• Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models
  22 Nov 2017 · 0 repositories · arXiv:1711.08275
• Decentralized High-Dimensional Bayesian Optimization with Factor Graphs
  19 Nov 2017 · 0 repositories · arXiv:1711.07033
• Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization
  19 Nov 2017 · 0 repositories · arXiv:1711.06989
• Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
  17 Nov 2017 · 0 repositories · arXiv:1711.06586
• Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception
  16 Nov 2017 · 0 repositories · arXiv:1711.06064
• Joint Gaussian Processes for Biophysical Parameter Retrieval
  14 Nov 2017 · 0 repositories · arXiv:1711.05197
• Structured Variational Inference for Coupled Gaussian Processes
  3 Nov 2017 · 0 repositories · arXiv:1711.01131
• Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation
  2 Nov 2017 · 1 repository · arXiv:1711.00799
• Learning Kernels over Strings using Gaussian Processes
  1 Nov 2017 · 0 repositories
• Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
  1 Nov 2017 · 0 repositories · arXiv:1711.00221
• Auto-Differentiating Linear Algebra
  24 Oct 2017 · 0 repositories · arXiv:1710.08717
• Finite-dimensional Gaussian approximation with linear inequality constraints
  20 Oct 2017 · 1 repository · arXiv:1710.07453
• Deep Gaussian Covariance Network
  17 Oct 2017 · 0 repositories · arXiv:1710.06202
• Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots
  17 Oct 2017 · 0 repositories · arXiv:1710.06230
• Safe Learning of Quadrotor Dynamics Using Barrier Certificates
  16 Oct 2017 · 0 repositories · arXiv:1710.05472
• Bayesian Alignments of Warped Multi-Output Gaussian Processes
  8 Oct 2017 · 0 repositories · arXiv:1710.02766
• Machine Learning for Drug Overdose Surveillance
  6 Oct 2017 · 0 repositories · arXiv:1710.02458
• Iterative Machine Learning for Precision Trajectory Tracking with Series Elastic Actuators
  5 Oct 2017 · 0 repositories · arXiv:1710.09691
• Remote Sensing Image Classification with Large Scale Gaussian Processes
  2 Oct 2017 · 0 repositories · arXiv:1710.00575
• Forecasting of commercial sales with large scale Gaussian Processes
  16 Sep 2017 · 0 repositories · arXiv:1709.05548
• Bayesian Optimisation for Safe Navigation under Localisation Uncertainty
  7 Sep 2017 · 0 repositories · arXiv:1709.02169
• An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
  19 Aug 2017 · 0 repositories · arXiv:1708.05894
• Frequentist coverage and sup-norm convergence rate in Gaussian process regression
  16 Aug 2017 · 0 repositories · arXiv:1708.04753
• DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
  9 Aug 2017 · 0 repositories · arXiv:1708.04670
• Distributed Batch Gaussian Process Optimization
  1 Aug 2017 · 0 repositories
• High Dimensional Bayesian Optimization with Elastic Gaussian Process
  1 Aug 2017 · 0 repositories
• Preferential Bayesian Optmization
  1 Aug 2017 · 0 repositories
• Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
  1 Aug 2017 · 0 repositories
• SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier
  1 Aug 2017 · 0 repositories
• SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model
  1 Aug 2017 · 0 repositories
• Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator
  26 Jul 2017 · 0 repositories · arXiv:1707.08384
• Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior
  19 Jul 2017 · 0 repositories · arXiv:1707.05909
• Latent Gaussian Process Regression
  18 Jul 2017 · 0 repositories · arXiv:1707.05534
• Application of SsVGMM to medical data-classification with novelty detection
  15 Jul 2017 · 1 repository
• Enhanced Particle Swarm Optimization Algorithms for Multiple-Input Multiple-Output System Modelling using Convolved Gaussian Process Models
  12 Jul 2017 · 0 repositories · arXiv:1709.04319
• Large Scale Variable Fidelity Surrogate Modeling
  12 Jul 2017 · 0 repositories · arXiv:1707.03916
• Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
  1 Jul 2017 · 0 repositories
• Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
  20 Jun 2017 · 1 repository · arXiv:1706.06491
• Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons
  19 Jun 2017 · 0 repositories · arXiv:1706.05850
• Nudged elastic band calculations accelerated with Gaussian process regression
  14 Jun 2017 · 0 repositories · arXiv:1706.04606
• Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes
  12 Jun 2017 · 1 repository · arXiv:1706.03673
• Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data
  2 Jun 2017 · 0 repositories · arXiv:1706.00856
• Identification of Gaussian Process State Space Models
  30 May 2017 · 0 repositories · arXiv:1705.10888
• Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
  27 May 2017 · 2 repositories · arXiv:1705.09862
• Non-Stationary Spectral Kernels
  24 May 2017 · 1 repository · arXiv:1705.08736
• Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model
  22 May 2017 · 0 repositories · arXiv:1705.07674
• Streaming Sparse Gaussian Process Approximations
  19 May 2017 · 3 repositories · arXiv:1705.07131
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples)
• Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization
  18 May 2017 · 0 repositories · arXiv:1705.06808