Browse State-of-the-Art › Gaussian Processes › Papers, page 10

Gaussian Processes

Papers archive 2025-07-28

archive papers tagged: 1,963 · with a code link: 685 · where Syntology ran a sample: 160 (131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (160 of 1,963 tagged: 131 with a run with no instrument failure, 29 where every run was a failure of Syntology's instrument)

Page 10 of 20: papers 901 to 1,000 of 1,963, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “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 figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. 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); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
  5 Feb 2024 0 repositories listed
• Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors
  2 Feb 2024 0 repositories listed
• Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors
  29 Jan 2024 0 repositories listed
• Towards Improved Variational Inference for Deep Bayesian Models
  23 Jan 2024 0 repositories listed
• Sparse discovery of differential equations based on multi-fidelity Gaussian process
  22 Jan 2024 0 repositories listed
• Fabrication uncertainty guided design optimization of a photonic crystal cavity by using Gaussian processes
  19 Jan 2024 0 repositories listed
• Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
  16 Jan 2024 0 repositories listed
• Data-Efficient Interactive Multi-Objective Optimization Using ParEGO
  12 Jan 2024 0 repositories listed
• Information Flow Rate for Cross-Correlated Stochastic Processes
  10 Jan 2024 0 repositories listed
• Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring
  9 Jan 2024 0 repositories listed
• Learning about a changing state
  7 Jan 2024 0 repositories listed
• Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
  1 Jan 2024 0 repositories listed
• Sample Path Regularity of Gaussian Processes from the Covariance Kernel
  22 Dec 2023 0 repositories listed
• Time-changed normalizing flows for accurate SDE modeling
  22 Dec 2023 0 repositories listed
• Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes
  18 Dec 2023 0 repositories listed
• Frequency-domain Gaussian Process Models for H_∞ Uncertainties
  15 Dec 2023 0 repositories listed
• Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation
  13 Dec 2023 0 repositories listed
• Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
  12 Dec 2023 0 repositories listed
• Sparse Variational Student-t Processes
  9 Dec 2023 0 repositories listed
• Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes
  8 Dec 2023 0 repositories listed
• Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes
  5 Dec 2023 0 repositories listed
• Safe Stabilization with Model Uncertainties: A Universal Formula with Gaussian Process Learning
  5 Dec 2023 0 repositories listed
• Scalable Meta-Learning with Gaussian Processes
  1 Dec 2023 0 repositories listed
• From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery
  27 Nov 2023 0 repositories listed
• Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
  26 Nov 2023 0 repositories listed
• Variational Elliptical Processes
  21 Nov 2023 0 repositories listed
• BOIS: Bayesian Optimization of Interconnected Systems
  19 Nov 2023 0 repositories listed
• Short-term Volatility Estimation for High Frequency Trades using Gaussian processes (GPs)
  18 Nov 2023 0 repositories listed
• A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options
  13 Nov 2023 0 repositories listed
• Neural SPDE solver for uncertainty quantification in high-dimensional space-time dynamics
  3 Nov 2023 0 repositories listed
• SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
  3 Nov 2023 0 repositories listed
• Gaussian Processes on Cellular Complexes
  2 Nov 2023 0 repositories listed
• Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures
  1 Nov 2023 0 repositories listed
• Variational Gaussian Processes For Linear Inverse Problems
  1 Nov 2023 0 repositories listed
• Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty
  31 Oct 2023 0 repositories listed
• Efficient Exploration in Continuous-time Model-based Reinforcement Learning
  30 Oct 2023 0 repositories listed
• Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images
  30 Oct 2023 0 repositories listed
• Deep Transformed Gaussian Processes
  27 Oct 2023 0 repositories listed
• Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
  25 Oct 2023 0 repositories listed
• Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning
  24 Oct 2023 0 repositories listed
• Conditional Generative Modeling for Images, 3D Animations, and Video
  19 Oct 2023 0 repositories listed
• Gaussian processes based data augmentation and expected signature for time series classification
  16 Oct 2023 0 repositories listed
• Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
  16 Oct 2023 0 repositories listed
• Log-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies
  12 Oct 2023 0 repositories listed
• Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes
  11 Oct 2023 0 repositories listed
• Stationarity without mean reversion in improper Gaussian processes
  4 Oct 2023 0 repositories listed
• Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints
  2 Oct 2023 0 repositories listed
• Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression
  29 Sep 2023 0 repositories listed
• Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points
  25 Sep 2023 0 repositories listed
• Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
  21 Sep 2023 0 repositories listed
• Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds
  21 Sep 2023 0 repositories listed
• Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
  20 Sep 2023 0 repositories listed
• How to turn your camera into a perfect pinhole model
  20 Sep 2023 0 repositories listed
• A spectrum of physics-informed Gaussian processes for regression in engineering
  19 Sep 2023 0 repositories listed
• A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes
  18 Sep 2023 0 repositories listed
• Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes
  16 Sep 2023 0 repositories listed
• On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing
  14 Sep 2023 0 repositories listed
• Scalable Model-Based Gaussian Process Clustering
  14 Sep 2023 0 repositories listed
• Promises of Deep Kernel Learning for Control Synthesis
  12 Sep 2023 0 repositories listed
• Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
  11 Sep 2023 0 repositories listed
• Data-driven Bayesian Control of Port-Hamiltonian Systems
  9 Sep 2023 0 repositories listed
• A computationally lightweight safe learning algorithm
  7 Sep 2023 0 repositories listed
• Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
  5 Sep 2023 0 repositories listed
• Les Houches Lectures on Deep Learning at Large & Infinite Width
  4 Sep 2023 0 repositories listed
• Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging
  27 Aug 2023 0 repositories listed
• Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes
  27 Aug 2023 0 repositories listed
• Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning
  15 Aug 2023 0 repositories listed
• Gaussian Process Regression for Maximum Entropy Distribution
  11 Aug 2023 0 repositories listed
• Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities
  26 Jul 2023 0 repositories listed
• Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy
  26 Jul 2023 0 repositories listed
• Current Methods for Drug Property Prediction in the Real World
  25 Jul 2023 0 repositories listed
• Efficient Gaussian Process Classification-based Physical-Layer Authentication with Configurable Fingerprints for 6G-Enabled IoT
  23 Jul 2023 0 repositories listed
• Investigating Low Data, Confidence Aware Image Prediction on Smooth Repetitive Videos using Gaussian Processes
  20 Jul 2023 0 repositories listed
• Towards a population-informed approach to the definition of data-driven models for structural dynamics
  19 Jul 2023 0 repositories listed
• Gaussian processes for Bayesian inverse problems associated with linear partial differential equations
  17 Jul 2023 0 repositories listed
• Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
  16 Jul 2023 0 repositories listed
• Efficient Determination of Safety Requirements for Perception Systems
  3 Jul 2023 0 repositories listed
• Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference
  30 Jun 2023 0 repositories listed
• Spatiotemporal Besov Priors for Bayesian Inverse Problems
  28 Jun 2023 0 repositories listed
• Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
  27 Jun 2023 0 repositories listed
• Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting
  20 Jun 2023 0 repositories listed
• Time-Varying Transition Matrices with Multi-task Gaussian Processes
  20 Jun 2023 0 repositories listed
• Functional Causal Bayesian Optimization
  10 Jun 2023 0 repositories listed
• Monte Carlo inference for semiparametric Bayesian regression
  8 Jun 2023 0 repositories listed
• Representing and Learning Functions Invariant Under Crystallographic Groups
  8 Jun 2023 0 repositories listed
• Graph Classification Gaussian Processes via Spectral Features
  6 Jun 2023 0 repositories listed
• Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes
  6 Jun 2023 0 repositories listed
• A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes
  29 May 2023 0 repositories listed
• Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
  26 May 2023 0 repositories listed
• Gaussian Processes with State-Dependent Noise for Stochastic Control
  25 May 2023 0 repositories listed
• Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
  24 May 2023 0 repositories listed
• Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
  24 May 2023 0 repositories listed
• Dynamic Term Structure Models with Nonlinearities using Gaussian Processes
  18 May 2023 0 repositories listed
• Quantum neural networks form Gaussian processes
  17 May 2023 0 repositories listed
• Meta-models for transfer learning in source localisation
  15 May 2023 0 repositories listed
• Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification
  15 May 2023 0 repositories listed
• Representing Additive Gaussian Processes by Sparse Matrices
  29 Apr 2023 0 repositories listed
• A Chain Rule for the Expected Suprema of Bernoulli Processes
  27 Apr 2023 0 repositories listed
• Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
  27 Apr 2023 0 repositories listed
• Quantum Gaussian Process Regression for Bayesian Optimization
  25 Apr 2023 0 repositories listed