Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 3
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 3 of 25: papers 201 to 300 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.
-
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle 25 Nov 2024 · 0 repositories · arXiv:2411.17745
-
Proportional infinite-width infinite-depth limit for deep linear neural networks 22 Nov 2024 · 0 repositories · arXiv:2411.15267
-
Recursive Gaussian Process State Space Model 22 Nov 2024 · 2 repositories · arXiv:2411.14679
-
Sparsifying Suprema of Gaussian Processes 22 Nov 2024 · 0 repositories · arXiv:2411.14664
-
AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression 19 Nov 2024 · 0 repositories · arXiv:2411.12175
-
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics 19 Nov 2024 · 0 repositories · arXiv:2411.15185
-
Transformer Neural Processes -- Kernel Regression 19 Nov 2024 · 0 repositories · arXiv:2411.12502
-
Continuous Bayesian Model Selection for Multivariate Causal Discovery 15 Nov 2024 · 0 repositories · arXiv:2411.10154
-
Optimal Transport-Based Displacement Interpolation with Data Augmentation for Reduced Order Modeling of Nonlinear Dynamical Systems 13 Nov 2024 · 0 repositories · arXiv:2411.08750
-
Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification 12 Nov 2024 · 0 repositories · arXiv:2411.07933
-
Singularity-Avoidance Control of Robotic Systems with Model Mismatch and Actuator Constraints 12 Nov 2024 · 0 repositories · arXiv:2411.07830
-
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI 11 Nov 2024 · 1 repository · arXiv:2411.06911
-
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration 9 Nov 2024 · 0 repositories · arXiv:2411.16693
-
Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data 7 Nov 2024 · 0 repositories · arXiv:2411.05869
-
Open-Source High-Speed Flight Surrogate Modeling Framework 6 Nov 2024 · 0 repositories · arXiv:2411.03598
-
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data 5 Nov 2024 · 0 repositories · arXiv:2411.03082
-
Backstepping Design for Incremental Input-to-State Stabilization of Unknown Systems 4 Nov 2024 · 0 repositories · arXiv:2411.01872
-
Towards safe Bayesian optimization with Wiener kernel regression 4 Nov 2024 · 1 repository · arXiv:2411.02253
-
Building the Self-Improvement Loop: Error Detection and Correction in Goal-Oriented Semantic Communications 3 Nov 2024 · 0 repositories · arXiv:2411.01544
-
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration 31 Oct 2024 · 0 repositories · arXiv:2411.00137
-
Residual Deep Gaussian Processes on Manifolds 31 Oct 2024 · 1 repository · arXiv:2411.00161
-
Bayesian Optimization for Hyperparameters Tuning in Neural Networks 29 Oct 2024 · 0 repositories · arXiv:2410.21886
-
Deep Q-Exponential Processes 29 Oct 2024 · 0 repositories · arXiv:2410.22119
-
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding 29 Oct 2024 · 1 repository · arXiv:2410.22322Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
-
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding 28 Oct 2024 · 1 repository · arXiv:2410.20752Syntology 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) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
-
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation 28 Oct 2024 · 1 repository · arXiv:2410.21419
-
Inferring the Morphology of the Galactic Center Excess with Gaussian Processes 28 Oct 2024 · 1 repository · arXiv:2410.21367
-
On Probabilistic Pullback Metrics for Latent Hyperbolic Manifolds 28 Oct 2024 · 0 repositories · arXiv:2410.20850
-
Shannon-like Interpolation with Spectral Priors and Weighted Hilbert Spaces: Beyond the Nyquist Rate 28 Oct 2024 · 0 repositories · arXiv:2410.21184
-
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials 27 Oct 2024 · 0 repositories · arXiv:2410.20398
-
On the Gaussian process limit of Bayesian Additive Regression Trees 26 Oct 2024 · 0 repositories · arXiv:2410.20289
-
Gaussian Process Regression-Based Lithium-Ion Battery End-of-Life Prediction Model under Various Operating Conditions 25 Oct 2024 · 0 repositories · arXiv:2410.19886
-
Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics 25 Oct 2024 · 0 repositories · arXiv:2410.19514
-
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx 24 Oct 2024 · 0 repositories · arXiv:2410.18424
-
Active Target Tracking Using Bearing-only Measurements With Gaussian Process Learning 24 Oct 2024 · 0 repositories · arXiv:2410.18669
-
Learning Coupled Subspaces for Multi-Condition Spike Data 24 Oct 2024 · 0 repositories · arXiv:2410.19153
-
A Bayesian Perspective on the Maximum Score Problem 22 Oct 2024 · 0 repositories · arXiv:2410.17153
-
General Seemingly Unrelated Local Projections 22 Oct 2024 · 0 repositories · arXiv:2410.17105
-
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation 22 Oct 2024 · 0 repositories · arXiv:2410.16893
-
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation 22 Oct 2024 · 0 repositories · arXiv:2410.16698
-
Sample-efficient Bayesian Optimisation Using Known Invariances 22 Oct 2024 · 2 repositories · arXiv:2410.16972Syntology official (archive's flag): 3 ran · 3 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; 2 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 1 pointer-only (licence)
-
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework 21 Oct 2024 · 0 repositories · arXiv:2410.16420
-
Distributed Thompson sampling under constrained communication 21 Oct 2024 · 1 repository · arXiv:2410.15543
-
Learning signals defined on graphs with optimal transport and Gaussian process regression 21 Oct 2024 · 0 repositories · arXiv:2410.15721
-
Semiparametric Bayesian Inference for a Conditional Moment Equality Model 21 Oct 2024 · 0 repositories · arXiv:2410.16017
-
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process 18 Oct 2024 · 0 repositories · arXiv:2410.14090
-
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes 18 Oct 2024 · 1 repository · arXiv:2410.14483
-
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals 16 Oct 2024 · 1 repository · arXiv:2410.13000
-
Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators 16 Oct 2024 · 0 repositories · arXiv:2410.12690
-
Nonlinear bayesian tomography of ion temperature and velocity for Doppler coherence imaging spectroscopy in RT-1 16 Oct 2024 · 0 repositories · arXiv:2410.12424
-
Bayesian inference of mixed Gaussian phylogenetic models 15 Oct 2024 · 1 repository · arXiv:2410.11548
-
Multiple Gaussian process models based global sensitivity analysis and efficient optimization of in vitro mRNA transcription process 15 Oct 2024 · 0 repositories · arXiv:2410.11976
-
Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics 15 Oct 2024 · 0 repositories · arXiv:2410.11454
-
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation 11 Oct 2024 · 0 repositories · arXiv:2410.08895
-
Correspondence of NNGP Kernel and the Matern Kernel 10 Oct 2024 · 0 repositories · arXiv:2410.08311
-
Gaussian Process Thompson Sampling via Rootfinding 10 Oct 2024 · 0 repositories · arXiv:2410.08071
-
Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks 10 Oct 2024 · 0 repositories · arXiv:2410.07917
-
Closed-Loop phase selection in EEG-TMS using Bayesian Optimization 8 Oct 2024 · 1 repository · arXiv:2410.05747
-
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC 8 Oct 2024 · 0 repositories · arXiv:2410.05740
-
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory 8 Oct 2024 · 0 repositories · arXiv:2410.05626
-
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors 8 Oct 2024 · 0 repositories · arXiv:2410.06422
-
Online scalable Gaussian processes with conformal prediction for guaranteed coverage 7 Oct 2024 · 0 repositories · arXiv:2410.05444
-
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios 3 Oct 2024 · 1 repository · arXiv:2410.02846
-
Bayesian Binary Search 2 Oct 2024 · 0 repositories · arXiv:2410.01771
-
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators 2 Oct 2024 · 0 repositories · arXiv:2410.01196
-
GPTreeO: An R package for continual regression with dividing local Gaussian processes 1 Oct 2024 · 0 repositories · arXiv:2410.01024
-
Stream-level flow matching with Gaussian processes 30 Sep 2024 · 1 repository · arXiv:2409.20423
-
Learning-based model predictive control with moving horizon state estimation for autonomous racing 28 Sep 2024 · 1 repository
-
Polyatomic Complexes: A topologically-informed learning representation for atomistic systems 23 Sep 2024 · 1 repository · arXiv:2409.15600Syntology 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)
-
Conformal Fields from Neural Networks 18 Sep 2024 · 0 repositories · arXiv:2409.12222
-
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes 18 Sep 2024 · 0 repositories · arXiv:2409.11804
-
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation 17 Sep 2024 · 0 repositories · arXiv:2409.11535
-
Latent mixed-effect models for high-dimensional longitudinal data 17 Sep 2024 · 0 repositories · arXiv:2409.11008
-
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics 17 Sep 2024 · 0 repositories · arXiv:2409.10972
-
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems 15 Sep 2024 · 0 repositories · arXiv:2409.10572
-
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline 14 Sep 2024 · 0 repositories · arXiv:2409.09331
-
Real-Time Stochastic Terrain Mapping and Processing for Autonomous Safe Landing 14 Sep 2024 · 0 repositories · arXiv:2409.09309
-
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks 11 Sep 2024 · 0 repositories · arXiv:2409.07652
-
A Bayesian Framework for Active Tactile Object Recognition, Pose Estimation and Shape Transfer Learning 10 Sep 2024 · 0 repositories · arXiv:2409.06912
-
Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes 10 Sep 2024 · 0 repositories · arXiv:2409.16308
-
Distributionally Robust Stochastic Data-Driven Predictive Control with Optimized Feedback Gain 9 Sep 2024 · 0 repositories · arXiv:2409.05727
-
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces 9 Sep 2024 · 1 repository · arXiv:2409.05325
-
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel 6 Sep 2024 · 0 repositories · arXiv:2409.03953
-
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior 5 Sep 2024 · 0 repositories · arXiv:2409.03149
-
Tensor network square root Kalman filter for online Gaussian process regression 5 Sep 2024 · 0 repositories · arXiv:2409.03276
-
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation 4 Sep 2024 · 0 repositories · arXiv:2409.02778
-
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement 29 Aug 2024 · 1 repository · arXiv:2408.16235
-
Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes 29 Aug 2024 · 0 repositories · arXiv:2408.16307
-
Bayesian optimization of atomic structures with prior probabilities from universal interatomic potentials 28 Aug 2024 · 1 repository · arXiv:2408.15590
-
Safe Barrier-Constrained Control of Uncertain Systems via Event-triggered Learning 28 Aug 2024 · 0 repositories · arXiv:2408.16144
-
SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs 24 Aug 2024 · 0 repositories · arXiv:2409.00078
-
TVG: A Training-free Transition Video Generation Method with Diffusion Models 24 Aug 2024 · 0 repositories · arXiv:2408.13413
-
A Unified Theory of Quantum Neural Network Loss Landscapes 21 Aug 2024 · 0 repositories · arXiv:2408.11901
-
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting 21 Aug 2024 · 1 repository · arXiv:2408.12007
-
Extracting Signal out of Chaos: Advancements on MAGI for Bayesian Analysis of Dynamical Systems 20 Aug 2024 · 1 repository · arXiv:2409.01293
-
Gaussian Processes with Noisy Regression Inputs for Dynamical Systems 16 Aug 2024 · 0 repositories · arXiv:2408.08834
-
DeNOTS: Stable Deep Neural ODEs for Time Series 15 Aug 2024 · 0 repositories · arXiv:2408.08055
-
Operator Learning Using Random Features: A Tool for Scientific Computing 12 Aug 2024 · 1 repository · arXiv:2408.06526
-
Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems 9 Aug 2024 · 0 repositories · arXiv:2408.05319
-
Towards aerodynamic surrogate modeling based on β-variational autoencoders 9 Aug 2024 · 1 repository · arXiv:2408.04969