Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 4
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 4 of 25: papers 301 to 400 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.
-
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps 6 Aug 2024 · 0 repositories · arXiv:2408.02949
-
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms 6 Aug 2024 · 0 repositories · arXiv:2408.03144
-
Probabilistic Surrogate Model for Accelerating the Design of Electric Vehicle Battery Enclosures for Crash Performance 6 Aug 2024 · 0 repositories · arXiv:2408.03450
-
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices 5 Aug 2024 · 0 repositories · arXiv:2408.02346
-
Batch Active Learning in Gaussian Process Regression using Derivatives 3 Aug 2024 · 0 repositories · arXiv:2408.01861
-
Point Prediction for Streaming Data 2 Aug 2024 · 0 repositories · arXiv:2408.01318
-
TASI Lectures on Physics for Machine Learning 31 Jul 2024 · 0 repositories · arXiv:2408.00082
-
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks 30 Jul 2024 · 0 repositories · arXiv:2407.21176
-
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression? 28 Jul 2024 · 0 repositories · arXiv:2407.19481
-
Bayesian meta learning for trustworthy uncertainty quantification 27 Jul 2024 · 0 repositories · arXiv:2407.19287
-
Robust Learning in Bayesian Parallel Branching Graph Neural Networks: The Narrow Width Limit 26 Jul 2024 · 0 repositories · arXiv:2407.18807
-
Amortized Active Learning for Nonparametric Functions 25 Jul 2024 · 0 repositories · arXiv:2407.17992
-
Gaussian Process Kolmogorov-Arnold Networks 25 Jul 2024 · 0 repositories · arXiv:2407.18397
-
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data 23 Jul 2024 · 0 repositories · arXiv:2407.16134
-
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning 19 Jul 2024 · 0 repositories · arXiv:2407.14262
-
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems 19 Jul 2024 · 1 repository · arXiv:2408.03330Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 3 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 10 unverified (of 17 harvested samples) · 17 pointer-only (licence)
-
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning 18 Jul 2024 · 0 repositories · arXiv:2407.13711
-
Leveraging Machine Learning for High-Dimensional Option Pricing within the Uncertain Volatility Model 18 Jul 2024 · 0 repositories · arXiv:2407.13213
-
Scalar Field Mapping with Adaptive High-Intensity Region Avoidance 18 Jul 2024 · 0 repositories · arXiv:2407.13543
-
A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control 16 Jul 2024 · 1 repository · arXiv:2407.12195
-
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space 16 Jul 2024 · 2 repositories · arXiv:2407.11917
-
Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification 15 Jul 2024 · 0 repositories · arXiv:2407.21029
-
Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models 15 Jul 2024 · 0 repositories · arXiv:2407.11256
-
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process 15 Jul 2024 · 0 repositories · arXiv:2407.11268
-
Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation 15 Jul 2024 · 0 repositories · arXiv:2407.10442
-
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression 14 Jul 2024 · 0 repositories · arXiv:2407.10070
-
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes 13 Jul 2024 · 1 repository · arXiv:2407.09739
-
A software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S) 12 Jul 2024 · 0 repositories · arXiv:2407.09261
-
Gaussian process interpolation with conformal prediction: methods and comparative analysis 11 Jul 2024 · 0 repositories · arXiv:2407.08271
-
Learning Li-ion battery health and degradation modes from data with aging-aware circuit models 9 Jul 2024 · 0 repositories · arXiv:2407.06639
-
Idiographic Personality Gaussian Process for Psychological Assessment 6 Jul 2024 · 0 repositories · arXiv:2407.04970
-
Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation 5 Jul 2024 · 1 repository · arXiv:2407.04417
-
Implementation and Analysis of GPU Algorithms for Vecchia Approximation 3 Jul 2024 · 1 repository · arXiv:2407.02740
-
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference 2 Jul 2024 · 0 repositories · arXiv:2407.02476
-
Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics 1 Jul 2024 · 1 repository · arXiv:2407.01226
-
Multifidelity Cross-validation 1 Jul 2024 · 0 repositories · arXiv:2407.01495
-
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features 30 Jun 2024 · 3 repositories · arXiv:2407.00584
-
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records 30 Jun 2024 · 0 repositories · arXiv:2407.00840
-
Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes 29 Jun 2024 · 0 repositories · arXiv:2407.00397
-
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data 27 Jun 2024 · 1 repository · arXiv:2406.19015
-
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models 26 Jun 2024 · 0 repositories · arXiv:2406.18770
-
Improving Hyperparameter Optimization with Checkpointed Model Weights 26 Jun 2024 · 1 repository · arXiv:2406.18630Syntology 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)
-
Variance Reduction for the Independent Metropolis Sampler 25 Jun 2024 · 0 repositories · arXiv:2406.17699
-
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems 20 Jun 2024 · 0 repositories · arXiv:2406.14301
-
Adaptive Safe Reinforcement Learning-Enabled Optimization of Battery Fast-Charging Protocols 18 Jun 2024 · 0 repositories · arXiv:2406.12309
-
Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression 18 Jun 2024 · 0 repositories · arXiv:2406.12678
-
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction 17 Jun 2024 · 0 repositories · arXiv:2406.12100
-
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting 17 Jun 2024 · 1 repository · arXiv:2406.11397
-
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Models 17 Jun 2024 · 1 repository · arXiv:2406.11809
-
Embedding machine-learnt sub-grid variability improves climate model biases 13 Jun 2024 · 0 repositories · arXiv:2406.09551
-
Noise-Aware Differentially Private Regression via Meta-Learning 12 Jun 2024 · 1 repository · arXiv:2406.08569Syntology 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) · 0 unverified (of 8 harvested samples)
-
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows 11 Jun 2024 · 0 repositories · arXiv:2406.07246
-
Generating Piano Practice Policy with a Gaussian Process 7 Jun 2024 · 1 repository · arXiv:2406.04812
-
Investigating the price determinants of the European Emission Trading System: a non-parametric approach 7 Jun 2024 · 1 repository · arXiv:2406.05094
-
Linearization Turns Neural Operators into Function-Valued Gaussian Processes 7 Jun 2024 · 0 repositories · arXiv:2406.05072
-
Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors 7 Jun 2024 · 0 repositories · arXiv:2406.04820
-
Scaling up Probabilistic PDE Simulators with Structured Volumetric Information 7 Jun 2024 · 1 repository · arXiv:2406.05020
-
Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages 6 Jun 2024 · 0 repositories · arXiv:2406.04519
-
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks 6 Jun 2024 · 0 repositories · arXiv:2406.04317
-
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems 5 Jun 2024 · 0 repositories · arXiv:2406.03616
-
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints 5 Jun 2024 · 0 repositories · arXiv:2406.03264
-
Computation-Aware Learning for Stable Control with Gaussian Process 4 Jun 2024 · 0 repositories · arXiv:2406.02272
-
Graph Neural Networks Do Not Always Oversmooth 4 Jun 2024 · 1 repository · arXiv:2406.02269
-
Can Kernel Methods Explain How the Data Affects Neural Collapse? 4 Jun 2024 · 1 repository · arXiv:2406.02105Syntology 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) · 3 pointer-only (licence)
-
Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance 3 Jun 2024 · 0 repositories
-
NeoRL: Efficient Exploration for Nonepisodic RL 3 Jun 2024 · 0 repositories · arXiv:2406.01175
-
Logistic Variational Bayes Revisited 2 Jun 2024 · 1 repository · arXiv:2406.00713
-
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint) 30 May 2024 · 0 repositories · arXiv:2405.20045
-
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior 29 May 2024 · 1 repository · arXiv:2405.19098
-
Model-independent cosmological inference post DESI DR1 BAO measurements 29 May 2024 · 0 repositories · arXiv:2405.19178
-
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification 28 May 2024 · 1 repository · arXiv:2405.17875
-
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes 28 May 2024 · 1 repository · arXiv:2405.18457
-
Gradients of Functions of Large Matrices 27 May 2024 · 1 repository · arXiv:2405.17277
-
Physically Consistent Modeling & Identification of Nonlinear Friction with Dissipative Gaussian Processes 27 May 2024 · 0 repositories · arXiv:2405.17199
-
Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE 27 May 2024 · 0 repositories · arXiv:2405.17412
-
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization 24 May 2024 · 0 repositories · arXiv:2405.15285
-
Bayesian Adaptive Calibration and Optimal Design 23 May 2024 · 1 repository · arXiv:2405.14440Syntology official (archive's flag): 3 ran · 3 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; 1 where Syntology's instrument failed) · 4 unverified (of 7 harvested samples)
-
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation 21 May 2024 · 0 repositories · arXiv:2405.12629
-
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation 19 May 2024 · 0 repositories · arXiv:2405.11683
-
CMA-ES for Safe Optimization 17 May 2024 · 1 repository · arXiv:2405.10534
-
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes 17 May 2024 · 0 repositories · arXiv:2405.10581
-
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics 16 May 2024 · 0 repositories · arXiv:2405.09989
-
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data 16 May 2024 · 1 repository · arXiv:2405.09817Syntology 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) · 5 unverified (of 8 harvested samples) · 8 pointer-only (licence)
-
Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model 16 May 2024 · 0 repositories · arXiv:2405.09838
-
Motion Prediction with Gaussian Processes for Safe Human-Robot Interaction in Virtual Environments 15 May 2024 · 0 repositories · arXiv:2405.09109
-
Data-driven Force Observer for Human-Robot Interaction with Series Elastic Actuators using Gaussian Processes 14 May 2024 · 0 repositories · arXiv:2405.08711
-
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning 9 May 2024 · 0 repositories · arXiv:2405.05865
-
Wilsonian Renormalization of Neural Network Gaussian Processes 9 May 2024 · 0 repositories · arXiv:2405.06008
-
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data 6 May 2024 · 0 repositories · arXiv:2405.03879
-
Dynamic Online Ensembles of Basis Expansions 2 May 2024 · 1 repository · arXiv:2405.01365
-
Polynomial Chaos Expanded Gaussian Process 2 May 2024 · 0 repositories · arXiv:2405.01052
-
Calibration of the rating transition model for high and low default portfolios 1 May 2024 · 0 repositories · arXiv:2405.00576
-
Data-Driven Permissible Safe Control with Barrier Certificates 30 Apr 2024 · 0 repositories · arXiv:2405.00136
-
Multi-layer random features and the approximation power of neural networks 26 Apr 2024 · 1 repository · arXiv:2404.17461
-
COBRA -- COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images 25 Apr 2024 · 0 repositories · arXiv:2404.16471
-
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization 25 Apr 2024 · 2 repositories · arXiv:2404.16795Syntology official: no sample here; runs from other or unrecorded repositories · 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) · 8 unverified (of 11 harvested samples)
-
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations 24 Apr 2024 · 0 repositories · arXiv:2404.15618
-
Variational Bayesian surrogate modelling with application to robust design optimisation 23 Apr 2024 · 0 repositories · arXiv:2404.14857
-
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures 18 Apr 2024 · 0 repositories · arXiv:2404.12478
-
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics 18 Apr 2024 · 0 repositories · arXiv:2404.11965