Browse State-of-the-Art › Gaussian Processes › Papers, page 17

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 17 of 20: papers 1,601 to 1,700 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.

• Bayesian Image Classification with Deep Convolutional Gaussian Processes
  15 Feb 2019 0 repositories listed
• Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
  13 Feb 2019 0 repositories listed
• Low-pass filtering as Bayesian inference
  9 Feb 2019 0 repositories listed
• The role of a layer in deep neural networks: a Gaussian Process perspective
  6 Feb 2019 0 repositories listed
• Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
  31 Jan 2019 0 repositories listed
• Ensembling methods for countrywide short term forecasting of gas demand
  31 Jan 2019 0 repositories listed
• Towards Practical Lipschitz Bandits
  26 Jan 2019 0 repositories listed
• On the Limitations of Representing Functions on Sets
  25 Jan 2019 0 repositories listed
• Meta-Learning Mean Functions for Gaussian Processes
  23 Jan 2019 0 repositories listed
• Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
  15 Jan 2019 0 repositories listed
• Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
  8 Jan 2019 0 repositories listed
• Performance prediction of data streams on high-performance architecture
  7 Jan 2019 0 repositories listed
• Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler
  3 Jan 2019 0 repositories listed
• Scalable GAM using sparse variational Gaussian processes
  28 Dec 2018 0 repositories listed
• Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
  23 Dec 2018 0 repositories listed
• Distribution-Free Uncertainty Quantification for Kernel Methods by Gradient Perturbations
  23 Dec 2018 0 repositories listed
• Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes
  21 Dec 2018 0 repositories listed
• Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data
  20 Dec 2018 0 repositories listed
• Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
  20 Dec 2018 0 repositories listed
• Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion
  16 Dec 2018 0 repositories listed
• Physics-Based Learning for Robotic Environmental Sensing
  10 Dec 2018 0 repositories listed
• The Limitations of Model Uncertainty in Adversarial Settings
  6 Dec 2018 0 repositories listed
• Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
  1 Dec 2018 0 repositories listed
• Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
  1 Dec 2018 0 repositories listed
• Temporal alignment and latent Gaussian process factor inference in population spike trains
  1 Dec 2018 0 repositories listed
• Deep Factors with Gaussian Processes for Forecasting
  30 Nov 2018 0 repositories listed
• Sequence Alignment with Dirichlet Process Mixtures
  26 Nov 2018 0 repositories listed
• Robust Super-Level Set Estimation using Gaussian Processes
  25 Nov 2018 0 repositories listed
• Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence
  24 Nov 2018 0 repositories listed
• A Fast and Greedy Subset-of-Data (SoD) Scheme for Sparsification in Gaussian processes
  17 Nov 2018 0 repositories listed
• Gaussian Process Accelerated Feldman-Cousins Approach for Physical Parameter Inference
  16 Nov 2018 0 repositories listed
• Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
  15 Nov 2018 0 repositories listed
• Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions
  9 Nov 2018 0 repositories listed
• Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
  5 Nov 2018 0 repositories listed
• A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
  2 Nov 2018 0 repositories listed
• Gaussian Process Conditional Density Estimation
  30 Oct 2018 0 repositories listed
• Variational Calibration of Computer Models
  29 Oct 2018 0 repositories listed
• A Gaussian Process perspective on Convolutional Neural Networks
  25 Oct 2018 0 repositories listed
• Adversarially Robust Optimization with Gaussian Processes
  25 Oct 2018 0 repositories listed
• Scalable Gaussian Processes on Discrete Domains
  24 Oct 2018 0 repositories listed
• Data Association with Gaussian Processes
  16 Oct 2018 0 repositories listed
• Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
  11 Oct 2018 0 repositories listed
• A General Framework for Fair Regression
  10 Oct 2018 0 repositories listed
• Harmonizable mixture kernels with variational Fourier features
  10 Oct 2018 0 repositories listed
• Non-linear process convolutions for multi-output Gaussian processes
  10 Oct 2018 0 repositories listed
• A Hybrid Approach for Trajectory Control Design
  8 Oct 2018 0 repositories listed
• Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
  21 Sep 2018 0 repositories listed
• Learning-based attacks in cyber-physical systems
  17 Sep 2018 0 repositories listed
• Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
  13 Sep 2018 0 repositories listed
• Efficient Global Optimization using Deep Gaussian Processes
  11 Sep 2018 0 repositories listed
• Gait learning for soft microrobots controlled by light fields
  10 Sep 2018 0 repositories listed
• Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes
  8 Sep 2018 0 repositories listed
• Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I
  6 Sep 2018 0 repositories listed
• Inter-state switching in stochastic gene expression: Exact solution, an adiabatic limit and oscillations in molecular distributions
  23 Aug 2018 0 repositories listed
• Learning Invariances using the Marginal Likelihood
  16 Aug 2018 0 repositories listed
• Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
  9 Aug 2018 0 repositories listed
• Multi-Output Convolution Spectral Mixture for Gaussian Processes
  7 Aug 2018 0 repositories listed
• Multitask Gaussian Process with Hierarchical Latent Interactions
  3 Aug 2018 0 repositories listed
• Assessing Quality Estimation Models for Sentence-Level Prediction
  1 Aug 2018 0 repositories listed
• Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes
  1 Aug 2018 0 repositories listed
• Remote sensing image regression for heterogeneous change detection
  31 Jul 2018 0 repositories listed
• Global optimization using Gaussian Processes to estimate biological parameters from image data
  26 Jul 2018 0 repositories listed
• Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces
  24 Jul 2018 0 repositories listed
• Mixed-Stationary Gaussian Process for Flexible Non-Stationary Modeling of Spatial Outcomes
  17 Jul 2018 0 repositories listed
• On Lebesgue Integral Quadrature
  17 Jul 2018 0 repositories listed
• A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture
  11 Jul 2018 0 repositories listed
• Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning
  9 Jul 2018 0 repositories listed
• Fully Scalable Gaussian Processes using Subspace Inducing Inputs
  6 Jul 2018 0 repositories listed
• Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
  6 Jul 2018 0 repositories listed
• Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
  1 Jul 2018 0 repositories listed
• Probabilistic Bisection with Spatial Metamodels
  30 Jun 2018 0 repositories listed
• Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
  26 Jun 2018 0 repositories listed
• Neural-net-induced Gaussian process regression for function approximation and PDE solution
  22 Jun 2018 0 repositories listed
• Stagewise Safe Bayesian Optimization with Gaussian Processes
  20 Jun 2018 0 repositories listed
• Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty
  10 Jun 2018 0 repositories listed
• Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
  8 Jun 2018 0 repositories listed
• Grouped Gaussian Processes for Solar Power Prediction
  7 Jun 2018 0 repositories listed
• Deep Gaussian Processes with Convolutional Kernels
  5 Jun 2018 0 repositories listed
• Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes
  4 Jun 2018 0 repositories listed
• Bayesian approach to model-based extrapolation of nuclear observables
  1 Jun 2018 0 repositories listed
• Wrapped Gaussian Process Regression on Riemannian Manifolds
  1 Jun 2018 0 repositories listed
• Efficient Bayesian Inference for a Gaussian Process Density Model
  29 May 2018 0 repositories listed
• Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
  23 May 2018 0 repositories listed
• Deep learning generalizes because the parameter-function map is biased towards simple functions
  22 May 2018 0 repositories listed
• Neural Generative Models for Global Optimization with Gradients
  22 May 2018 0 repositories listed
• Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels
  14 May 2018 0 repositories listed
• Bayesian active learning for choice models with deep Gaussian processes
  4 May 2018 0 repositories listed
• Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces
  27 Apr 2018 0 repositories listed
• Efficiently Learning Nonstationary Gaussian Processes for Real World Impact
  27 Apr 2018 0 repositories listed
• Adaptive Sensing for Learning Nonstationary Environment Models
  26 Apr 2018 0 repositories listed
• Evaluating Hospital Case Cost Prediction Models Using Azure Machine Learning Studio
  4 Apr 2018 0 repositories listed
• Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
  4 Apr 2018 0 repositories listed
• Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems
  3 Apr 2018 0 repositories listed
• Quantum algorithms for training Gaussian Processes
  28 Mar 2018 0 repositories listed
• Meta Reinforcement Learning with Latent Variable Gaussian Processes
  20 Mar 2018 0 repositories listed
• Asymmetric kernel in Gaussian Processes for learning target variance
  19 Mar 2018 0 repositories listed
• Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
  19 Mar 2018 0 repositories listed
• Gaussian Processes indexed on the symmetric group: prediction and learning
  16 Mar 2018 0 repositories listed
• Gaussian Processes Over Graphs
  15 Mar 2018 0 repositories listed
• Dimension-Robust MCMC in Bayesian Inverse Problems
  9 Mar 2018 0 repositories listed