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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 16 of 20: papers 1,501 to 1,600 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.

• Disentangling Trainability and Generalization in Deep Neural Networks
  30 Dec 2019 0 repositories listed
• Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase
  25 Dec 2019 0 repositories listed
• Teaching robots to perceive time -- A reinforcement learning approach (Extended version)
  20 Dec 2019 0 repositories listed
• Active emulation of computer codes with Gaussian processes -- Application to remote sensing
  13 Dec 2019 0 repositories listed
• On the relationship between multitask neural networks and multitask Gaussian Processes
  12 Dec 2019 0 repositories listed
• Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax
  11 Dec 2019 0 repositories listed
• Numerical Gaussian process Kalman filtering
  3 Dec 2019 0 repositories listed
• Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
  1 Dec 2019 0 repositories listed
• Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
  1 Dec 2019 0 repositories listed
• A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport
  29 Nov 2019 0 repositories listed
• Efficient Approximate Inference with Walsh-Hadamard Variational Inference
  29 Nov 2019 0 repositories listed
• Safety Guarantees for Planning Based on Iterative Gaussian Processes
  29 Nov 2019 0 repositories listed
• Machine Learning for a Low-cost Air Pollution Network
  28 Nov 2019 0 repositories listed
• Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections
  21 Nov 2019 0 repositories listed
• Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
  12 Nov 2019 0 repositories listed
• Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
  11 Nov 2019 0 repositories listed
• Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
  8 Nov 2019 0 repositories listed
• GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
  5 Nov 2019 0 repositories listed
• Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
  5 Nov 2019 0 repositories listed
• Modelling Uncertainty in Collaborative Document Quality Assessment
  1 Nov 2019 0 repositories listed
• Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
  29 Oct 2019 0 repositories listed
• Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei
  28 Oct 2019 0 repositories listed
• Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes
  21 Oct 2019 0 repositories listed
• Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes
  16 Oct 2019 0 repositories listed
• Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage
  16 Oct 2019 0 repositories listed
• Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
  14 Oct 2019 0 repositories listed
• Nonstationary Multivariate Gaussian Processes for Electronic Health Records
  13 Oct 2019 0 repositories listed
• Regularized Sparse Gaussian Processes
  13 Oct 2019 0 repositories listed
• On the expected behaviour of noise regularised deep neural networks as Gaussian processes
  12 Oct 2019 0 repositories listed
• Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
  5 Oct 2019 0 repositories listed
• Probabilistic Deep Ordinal Regression Based on Gaussian Processes
  1 Oct 2019 0 repositories listed
• Non-Gaussian processes and neural networks at finite widths
  30 Sep 2019 0 repositories listed
• Tightening Bounds for Variational Inference by Revisiting Perturbation Theory
  30 Sep 2019 0 repositories listed
• Disentangling Trainability and Generalization in Deep Learning
  25 Sep 2019 0 repositories listed
• Localizing and Amortizing: Efficient Inference for Gaussian Processes
  25 Sep 2019 0 repositories listed
• Three-Dimensional Extended Object Tracking and Shape Learning Using Gaussian Processes
  25 Sep 2019 0 repositories listed
• Kalman Filtering with Gaussian Processes Measurement Noise
  23 Sep 2019 0 repositories listed
• Differentially Private Regression and Classification with Sparse Gaussian Processes
  19 Sep 2019 0 repositories listed
• Bayesian Optimisation with Gaussian Processes for Premise Selection
  18 Sep 2019 0 repositories listed
• Band-Limited Gaussian Processes: The Sinc Kernel
  16 Sep 2019 0 repositories listed
• Coarse-scale PDEs from fine-scale observations via machine learning
  12 Sep 2019 0 repositories listed
• Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version
  29 Aug 2019 0 repositories listed
• Finite size corrections for neural network Gaussian processes
  27 Aug 2019 0 repositories listed
• Using Contextual Information to Improve Blood Glucose Prediction
  24 Aug 2019 0 repositories listed
• Stochastic data-driven model predictive control using Gaussian processes
  5 Aug 2019 0 repositories listed
• Gaussian Process Models of Sound Change in Indo-Aryan Dialectology
  1 Aug 2019 0 repositories listed
• Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
  19 Jul 2019 0 repositories listed
• Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
  17 Jul 2019 0 repositories listed
• The Use of Gaussian Processes in System Identification
  13 Jul 2019 0 repositories listed
• Gaussian Processes for Analyzing Positioned Trajectories in Sports
  5 Jul 2019 0 repositories listed
• Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches
  2 Jul 2019 0 repositories listed
• Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation
  2 Jul 2019 0 repositories listed
• Modulating Surrogates for Bayesian Optimization
  26 Jun 2019 0 repositories listed
• A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN
  25 Jun 2019 0 repositories listed
• Modeling Severe Traffic Accidents With Spatial And Temporal Features
  25 Jun 2019 0 repositories listed
• Compositionally-Warped Gaussian Processes
  23 Jun 2019 0 repositories listed
• Black-Box Inference for Non-Linear Latent Force Models
  21 Jun 2019 0 repositories listed
• Learning Directed Graphical Models from Gaussian Data
  19 Jun 2019 0 repositories listed
• Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective
  12 Jun 2019 0 repositories listed
• CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
  10 Jun 2019 0 repositories listed
• Deep Compositional Spatial Models
  6 Jun 2019 0 repositories listed
• Physics Enhanced Data-Driven Models with Variational Gaussian Processes
  5 Jun 2019 0 repositories listed
• Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves
  4 Jun 2019 0 repositories listed
• Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
  4 Jun 2019 0 repositories listed
• Bayesian Deconditional Kernel Mean Embeddings
  1 Jun 2019 0 repositories listed
• Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
  1 Jun 2019 0 repositories listed
• CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
  1 Jun 2019 0 repositories listed
• Neural Likelihoods for Multi-Output Gaussian Processes
  31 May 2019 0 repositories listed
• Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
  30 May 2019 0 repositories listed
• Non-linear Multitask Learning with Deep Gaussian Processes
  29 May 2019 0 repositories listed
• Interpretable deep Gaussian processes with moments
  27 May 2019 0 repositories listed
• Kernel Conditional Density Operators
  27 May 2019 0 repositories listed
• A Bulirsch-Stoer algorithm using Gaussian processes
  23 May 2019 0 repositories listed
• Learning spectrograms with convolutional spectral kernels
  23 May 2019 0 repositories listed
• Distribution Calibration for Regression
  15 May 2019 0 repositories listed
• Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
  15 May 2019 0 repositories listed
• Graph Convolutional Gaussian Processes
  14 May 2019 0 repositories listed
• Online Anomaly Detection with Sparse Gaussian Processes
  14 May 2019 0 repositories listed
• Bayesian Optimization using Deep Gaussian Processes
  7 May 2019 0 repositories listed
• Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data
  6 May 2019 0 repositories listed
• Deep Bayesian Convolutional Networks with Many Channels are Gaussian Processes
  1 May 2019 0 repositories listed
• Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
  21 Apr 2019 0 repositories listed
• Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective
  9 Apr 2019 0 repositories listed
• Novel Uncertainty Framework for Deep Learning Ensembles
  9 Apr 2019 0 repositories listed
• Robust Deep Gaussian Processes
  4 Apr 2019 0 repositories listed
• Sentiment analysis with genetically evolved Gaussian kernels
  1 Apr 2019 0 repositories listed
• A Gaussian process latent force model for joint input-state estimation in linear structural systems
  29 Mar 2019 0 repositories listed
• Deep Random Splines for Point Process Intensity Estimation
  27 Mar 2019 0 repositories listed
• A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes
  22 Mar 2019 0 repositories listed
• High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence
  19 Mar 2019 0 repositories listed
• Financial Applications of Gaussian Processes and Bayesian Optimization
  12 Mar 2019 0 repositories listed
• Learning Gaussian Policies from Corrective Human Feedback
  12 Mar 2019 0 repositories listed
• Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations
  10 Mar 2019 0 repositories listed
• Active learning for enumerating local minima based on Gaussian process derivatives
  8 Mar 2019 0 repositories listed
• Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification
  5 Mar 2019 0 repositories listed
• V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures
  4 Mar 2019 0 repositories listed
• Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
  28 Feb 2019 0 repositories listed
• Local Function Complexity for Active Learning via Mixture of Gaussian Processes
  27 Feb 2019 0 repositories listed
• Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era
  26 Feb 2019 0 repositories listed
• Bayesian Anomaly Detection and Classification
  22 Feb 2019 0 repositories listed