Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 8

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 8 of 25: papers 701 to 800 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.

• PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression
  16 May 2023 · 0 repositories · arXiv:2305.09214
• Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior
  15 May 2023 · 0 repositories · arXiv:2305.09017
• Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification
  15 May 2023 · 0 repositories · arXiv:2305.09689
• Mastering the exploration-exploitation trade-off in Bayesian Optimization
  15 May 2023 · 0 repositories · arXiv:2305.08624
• Physics-enhanced Gaussian Process Variational Autoencoder
  15 May 2023 · 0 repositories · arXiv:2305.09006
• Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
  14 May 2023 · 0 repositories · arXiv:2305.08169
• Generating high-quality 3DMPCs by adaptive data acquisition and NeREF-based radiometric calibration with UGV plant phenotyping system
  11 May 2023 · 0 repositories · arXiv:2305.06777
• Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model
  11 May 2023 · 0 repositories · arXiv:2305.07040
• ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
  10 May 2023 · 1 repository · arXiv:2305.06395
• Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
  9 May 2023 · 0 repositories · arXiv:2305.05812
• Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs
  8 May 2023 · 0 repositories · arXiv:2305.04962
• Gaussian process deconvolution
  8 May 2023 · 1 repository · arXiv:2305.04871
• Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
  8 May 2023 · 1 repository · arXiv:2305.04634
• Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
  7 May 2023 · 1 repository · arXiv:2305.04933
  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: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples)
• Trajectory-oriented optimization of stochastic epidemiological models
  6 May 2023 · 1 repository · arXiv:2305.03926
• Impact Study of Numerical Discretization Accuracy on Parameter Reconstructions and Model Parameter Distributions
  4 May 2023 · 0 repositories · arXiv:2305.02663
• Expressive Mortality Models through Gaussian Process Kernels
  2 May 2023 · 1 repository · arXiv:2305.01728
• Adaptive Sampling of Algal Blooms Using Autonomous Underwater Vehicle and Satellite Imagery: Experimental Validation in the Baltic Sea
  1 May 2023 · 1 repository · arXiv:2305.00774
• Optimal tests following sequential experiments
  30 Apr 2023 · 0 repositories · arXiv:2305.00403
• RegHEC: Hand-Eye Calibration via Simultaneous Multi-view Point Clouds Registration of Arbitrary Object
  27 Apr 2023 · 1 repository · arXiv:2304.14092
• Learning battery model parameter dynamics from data with recursive Gaussian process regression
  26 Apr 2023 · 0 repositories · arXiv:2304.13666
• Mixtures of Gaussian process experts based on kernel stick-breaking processes
  26 Apr 2023 · 1 repository · arXiv:2304.13833
• Quantum Gaussian Process Regression for Bayesian Optimization
  25 Apr 2023 · 0 repositories · arXiv:2304.12923
• Stochastic Cell Transmission Models of Traffic Networks
  23 Apr 2023 · 0 repositories · arXiv:2304.11654
• CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems
  22 Apr 2023 · 0 repositories · arXiv:2304.11455
• A Multi-Fidelity Bayesian Approach to Safe Controller Design
  21 Apr 2023 · 0 repositories · arXiv:2304.11023
• Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
  17 Apr 2023 · 1 repository · arXiv:2304.08309
• Bayesian Inference on Brain-Computer Interfaces via GLASS
  14 Apr 2023 · 1 repository · arXiv:2304.07401
• Robust Stability of Gaussian Process Based Moving Horizon Estimation
  13 Apr 2023 · 0 repositories · arXiv:2304.06530
• Audio Bank: A High-Level Acoustic Signal Representation for Audio Event Recognition
  11 Apr 2023 · 0 repositories · arXiv:2304.05067
• Bayesian Optimization of Catalysis With In-Context Learning
  11 Apr 2023 · 2 repositories · arXiv:2304.05341
• Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
  11 Apr 2023 · 0 repositories · arXiv:2304.05138
• Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization with Recurrent Neural Network
  9 Apr 2023 · 0 repositories · arXiv:2304.04195
• Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
  9 Apr 2023 · 1 repository · arXiv:2304.04298
• Data-Driven Response Regime Exploration and Identification for Dynamical Systems
  7 Apr 2023 · 0 repositories · arXiv:2304.05822
• Cascaded Calibration of Mechatronic Systems via Bayesian Inference
  6 Apr 2023 · 0 repositories · arXiv:2304.03136
• Wide neural networks: From non-gaussian random fields at initialization to the NTK geometry of training
  6 Apr 2023 · 0 repositories · arXiv:2304.03385
• Self-Distillation for Gaussian Process Regression and Classification
  5 Apr 2023 · 1 repository · arXiv:2304.02641
  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) · 0 unverified (of 1 harvested sample)
• Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
  3 Apr 2023 · 1 repository · arXiv:2304.01294
  Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 10 harvested samples)
• Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading
  30 Mar 2023 · 0 repositories · arXiv:2303.18055
• Estimating Continuous Muscle Fatigue For Multi-Muscle Coordinated Exercise: A Pilot Study on Walking
  30 Mar 2023 · 0 repositories · arXiv:2303.17614
• Sparse Gaussian Processes with Spherical Harmonic Features Revisited
  28 Mar 2023 · 0 repositories · arXiv:2303.15948
• Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
  28 Mar 2023 · 0 repositories · arXiv:2303.16210
• Clustering based on Mixtures of Sparse Gaussian Processes
  23 Mar 2023 · 0 repositories · arXiv:2303.13665
• Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
  21 Mar 2023 · 1 repository · arXiv:2303.11954
• Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters
  17 Mar 2023 · 0 repositories · arXiv:2303.09842
• Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller
  17 Mar 2023 · 0 repositories · arXiv:2303.09828
• Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval
  15 Mar 2023 · 0 repositories · arXiv:2303.08599
• On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
  15 Mar 2023 · 0 repositories · arXiv:2303.08606
• Gaussian Process on the Product of Directional Manifolds
  13 Mar 2023 · 0 repositories · arXiv:2303.06799
• Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature
  9 Mar 2023 · 1 repository · arXiv:2303.05263
• Machine learning tools to improve nonlinear modeling parameters of RC columns
  9 Mar 2023 · 0 repositories · arXiv:2303.16140
• Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
  8 Mar 2023 · 0 repositories · arXiv:2303.04725
• Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
  8 Mar 2023 · 0 repositories · arXiv:2303.04569
• A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity
  7 Mar 2023 · 1 repository · arXiv:2303.03858
• Bayesian inference with finitely wide neural networks
  6 Mar 2023 · 0 repositories · arXiv:2303.02859
• Continuous-Time Gaussian Process Motion-Compensation for Event-vision Pattern Tracking with Distance Fields
  5 Mar 2023 · 0 repositories · arXiv:2303.02672
• Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model
  5 Mar 2023 · 0 repositories · arXiv:2303.02753
• Calibrating Transformers via Sparse Gaussian Processes
  4 Mar 2023 · 1 repository · arXiv:2303.02444
  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) · 3 unverified (of 5 harvested samples) · 5 pointer-only (licence)
• Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
  3 Mar 2023 · 1 repository · arXiv:2303.01774
• Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes
  3 Mar 2023 · 1 repository · arXiv:2303.01925
• EPAM: A Predictive Energy Model for Mobile AI
  2 Mar 2023 · 0 repositories · arXiv:2303.01509
• On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques
  1 Mar 2023 · 0 repositories · arXiv:2303.00187
• Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
  28 Feb 2023 · 0 repositories · arXiv:2303.00028
• Interactive Segmentation as Gaussian Process Classification
  28 Feb 2023 · 1 repository · arXiv:2302.14578
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample)
• Random forests for binary geospatial data
  27 Feb 2023 · 0 repositories · arXiv:2302.13828
• Diagonally Square Root Integrable Kernels in System Identification
  24 Feb 2023 · 0 repositories · arXiv:2302.12929
• Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks
  24 Feb 2023 · 0 repositories · arXiv:2302.12910
• Variational Linearized Laplace Approximation for Bayesian Deep Learning
  24 Feb 2023 · 1 repository · arXiv:2302.12565
  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) · 1 pointer-only (licence)
• Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
  23 Feb 2023 · 0 repositories · arXiv:2302.12349
• Sharp Calibrated Gaussian Processes
  23 Feb 2023 · 0 repositories · arXiv:2302.11961
• Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows
  21 Feb 2023 · 0 repositories · arXiv:2302.10425
• Adaptive Sparse Gaussian Process
  20 Feb 2023 · 1 repository · arXiv:2302.10325
• Guided Deep Kernel Learning
  19 Feb 2023 · 1 repository · arXiv:2302.09574
• Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks
  17 Feb 2023 · 1 repository · arXiv:2302.09184
• GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
  16 Feb 2023 · 0 repositories · arXiv:2302.08454
• Robust expected improvement for Bayesian optimization
  16 Feb 2023 · 0 repositories · arXiv:2302.08612
• Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization
  11 Feb 2023 · 0 repositories · arXiv:2302.12013
• Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading
  9 Feb 2023 · 0 repositories · arXiv:2302.04608
• Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
  9 Feb 2023 · 0 repositories · arXiv:2302.04534
• Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
  9 Feb 2023 · 0 repositories · arXiv:2302.04518
• Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
  8 Feb 2023 · 1 repository · arXiv:2302.04061
• Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust
  6 Feb 2023 · 0 repositories · arXiv:2302.02834
• Inferencing the earth moving equipment-environment interaction in open pit mining
  4 Feb 2023 · 0 repositories · arXiv:2302.02130
• Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
  3 Feb 2023 · 1 repository · arXiv:2302.01513
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• A Semi-Parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
  2 Feb 2023 · 0 repositories · arXiv:2302.01187
• Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
  1 Feb 2023 · 0 repositories · arXiv:2302.00755
• Learning Choice Functions with Gaussian Processes
  1 Feb 2023 · 1 repository · arXiv:2302.00406
  Syntology official: no sample here; runs from other or unrecorded repositories · 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)
• Learning Control from Raw Position Measurements
  30 Jan 2023 · 0 repositories · arXiv:2301.13183
• Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
  30 Jan 2023 · 1 repository · arXiv:2301.13088
• Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
  27 Jan 2023 · 0 repositories · arXiv:2301.11588
• Estimating Causal Effects using a Multi-task Deep Ensemble
  26 Jan 2023 · 1 repository · arXiv:2301.11351
  Syntology official: harvested, nothing ran · 0 ran · 7 unverified (of 7 harvested samples)
• Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems
  26 Jan 2023 · 1 repository · arXiv:2301.11279
• Random Grid Neural Processes for Parametric Partial Differential Equations
  26 Jan 2023 · 0 repositories · arXiv:2301.11040
• Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization Algorithm
  25 Jan 2023 · 1 repository
• Quantification of Damage Using Indirect Structural Health Monitoring
  24 Jan 2023 · 0 repositories · arXiv:2301.09791
• Towards Flexibility and Interpretability of Gaussian Process State-Space Model
  21 Jan 2023 · 1 repository · arXiv:2301.08843
• Towards Quantification of Assurance for Learning-enabled Components
  21 Jan 2023 · 0 repositories · arXiv:2301.08980
• Active Learning of Piecewise Gaussian Process Surrogates
  20 Jan 2023 · 0 repositories · arXiv:2301.08789
• An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression
  20 Jan 2023 · 0 repositories · arXiv:2301.08398