Browse State-of-the-Art › Gaussian Processes › Papers, page 15
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 15 of 20: papers 1,401 to 1,500 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.
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Gaussian Process Molecule Property Prediction with FlowMO2 Oct 2020 0 repositories listed
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Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions28 Sep 2020 0 repositories listed
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Predicting the Outputs of Finite Networks Trained with Noisy Gradients28 Sep 2020 0 repositories listed
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A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers19 Sep 2020 0 repositories listed
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Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels16 Sep 2020 0 repositories listed
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Contraction ℒ₁-Adaptive Control using Gaussian Processes8 Sep 2020 0 repositories listed
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Study of Short-Term Personalized Glucose Predictive Models on Type-1 Diabetic Children8 Sep 2020 0 repositories listed
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Information Theoretic Meta Learning with Gaussian Processes7 Sep 2020 0 repositories listed
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Locally induced Gaussian processes for large-scale simulation experiments28 Aug 2020 0 repositories listed
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Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization15 Aug 2020 0 repositories listed
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Preferential Bayesian optimisation with Skew Gaussian Processes15 Aug 2020 0 repositories listed
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Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling12 Aug 2020 0 repositories listed
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Multi-Agent Safe Planning with Gaussian Processes10 Aug 2020 0 repositories listed
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Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes7 Aug 2020 0 repositories listed
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Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes5 Aug 2020 0 repositories listed
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Machine Learning for Health: Personalized Models for Forecasting of Alzheimer Disease Progression5 Aug 2020 0 repositories listed
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Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks21 Jul 2020 0 repositories listed
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Causal Inference using Gaussian Processes with Structured Latent Confounders14 Jul 2020 0 repositories listed
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Orthogonally Decoupled Variational Fourier Features13 Jul 2020 0 repositories listed
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Characteristics of Monte Carlo Dropout in Wide Neural Networks10 Jul 2020 0 repositories listed
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Doubly infinite residual neural networks: a diffusion process approach7 Jul 2020 0 repositories listed
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srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications7 Jul 2020 0 repositories listed
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A Perspective on Gaussian Processes for Earth Observation2 Jul 2020 0 repositories listed
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Motor cortex mapping using active gaussian processes30 Jun 2020 0 repositories listed
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Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities30 Jun 2020 0 repositories listed
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Sparse Gaussian Processes with Spherical Harmonic Features30 Jun 2020 0 repositories listed
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Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes29 Jun 2020 0 repositories listed
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Is SGD a Bayesian sampler? Well, almost26 Jun 2020 0 repositories listed
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Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation25 Jun 2020 0 repositories listed
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Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization25 Jun 2020 0 repositories listed
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Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry25 Jun 2020 0 repositories listed
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Towards Recurrent Autoregressive Flow Models17 Jun 2020 0 repositories listed
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Real-Time Regression with Dividing Local Gaussian Processes16 Jun 2020 0 repositories listed
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Safety Verification of Unknown Dynamical Systems via Gaussian Process Regression15 Jun 2020 0 repositories listed
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GP3: A Sampling-based Analysis Framework for Gaussian Processes14 Jun 2020 0 repositories listed
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Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm14 Jun 2020 0 repositories listed
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Gaussian Processes on Graphs via Spectral Kernel Learning12 Jun 2020 0 repositories listed
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Fast Deep Mixtures of Gaussian Process Experts11 Jun 2020 0 repositories listed
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Scalable Partial Explainability in Neural Networks via Flexible Activation Functions10 Jun 2020 0 repositories listed
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Learning supported Model Predictive Control for Tracking of Periodic References8 Jun 2020 0 repositories listed
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Physics Informed Deep Kernel Learning8 Jun 2020 0 repositories listed
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Regret Bound for Safe Gaussian Process Bandit Optimization8 Jun 2020 0 repositories listed
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Smart Forgetting for Safe Online Learning with Gaussian Processes8 Jun 2020 0 repositories listed
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tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder8 Jun 2020 0 repositories listed
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A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series6 Jun 2020 0 repositories listed
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Learning Inconsistent Preferences with Gaussian Processes6 Jun 2020 0 repositories listed
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Sparse Gaussian Processes via Parametric Families of Compactly-supported Kernels5 Jun 2020 0 repositories listed
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Bayesian Sparse Factor Analysis with Kernelized Observations1 Jun 2020 0 repositories listed
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Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes1 Jun 2020 0 repositories listed
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Longitudinal Deep Kernel Gaussian Process Regression24 May 2020 0 repositories listed
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Global Optimization of Gaussian processes21 May 2020 0 repositories listed
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Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes18 May 2020 0 repositories listed
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Stable spline identification of linear systems under missing data14 May 2020 0 repositories listed
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Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization12 May 2020 0 repositories listed
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Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design11 May 2020 0 repositories listed
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BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search8 May 2020 0 repositories listed
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Regret Bounds for Safe Gaussian Process Bandit Optimization5 May 2020 0 repositories listed
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Evaluation of Deep Gaussian Processes for Text Classification1 May 2020 0 repositories listed
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Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck23 Apr 2020 0 repositories listed
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Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity22 Apr 2020 0 repositories listed
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Local Model Feature Transformations13 Apr 2020 0 repositories listed
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Reinforcement Learning via Gaussian Processes with Neural Network Dual Kernels10 Apr 2020 0 repositories listed
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Deep Manifold Prior8 Apr 2020 0 repositories listed
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Online Constrained Model-based Reinforcement Learning7 Apr 2020 0 repositories listed
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On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes6 Apr 2020 0 repositories listed
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Predicting the outputs of finite deep neural networks trained with noisy gradients2 Apr 2020 0 repositories listed
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Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data30 Mar 2020 0 repositories listed
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Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations26 Mar 2020 0 repositories listed
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Baryons from Mesons: A Machine Learning Perspective23 Mar 2020 0 repositories listed
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Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records23 Mar 2020 0 repositories listed
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Scaling up Kernel Ridge Regression via Locality Sensitive Hashing21 Mar 2020 0 repositories listed
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aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture20 Mar 2020 0 repositories listed
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Deep Reinforcement Learning with Weighted Q-Learning20 Mar 2020 0 repositories listed
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The Elliptical Processes: a Family of Fat-tailed Stochastic Processes13 Mar 2020 0 repositories listed
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Linear-time inference for Gaussian Processes on one dimension11 Mar 2020 0 repositories listed
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Amortized variance reduction for doubly stochastic objectives9 Mar 2020 0 repositories listed
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Modelling Human Active Search in Optimizing Black-box Functions9 Mar 2020 0 repositories listed
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Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations6 Mar 2020 0 repositories listed
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Scalable Uncertainty for Computer Vision with Functional Variational Inference6 Mar 2020 0 repositories listed
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Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns3 Mar 2020 0 repositories listed
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Mixed Strategies for Robust Optimization of Unknown Objectives28 Feb 2020 0 repositories listed
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Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods28 Feb 2020 0 repositories listed
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Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes26 Feb 2020 0 repositories listed
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Deep Sigma Point Processes21 Feb 2020 0 repositories listed
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Knot Selection in Sparse Gaussian Processes21 Feb 2020 0 repositories listed
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Weakly-supervised Multi-output Regression via Correlated Gaussian Processes19 Feb 2020 0 repositories listed
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Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes18 Feb 2020 0 repositories listed
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Combining Parametric Land Surface Models with Machine Learning14 Feb 2020 0 repositories listed
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Graph Convolutional Gaussian Processes For Link Prediction11 Feb 2020 0 repositories listed
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Linearly Constrained Gaussian Processes with Boundary Conditions3 Feb 2020 0 repositories listed
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A Machine Consciousness architecture based on Deep Learning and Gaussian Processes2 Feb 2020 0 repositories listed
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Transport Gaussian Processes for Regression30 Jan 2020 0 repositories listed
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Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness29 Jan 2020 0 repositories listed
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Quantified limits of the nuclear landscape16 Jan 2020 0 repositories listed
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Doubly Sparse Variational Gaussian Processes15 Jan 2020 0 repositories listed
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Bayesian Quantile and Expectile Optimisation12 Jan 2020 0 repositories listed
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Wide Neural Networks with Bottlenecks are Deep Gaussian Processes3 Jan 2020 0 repositories listed
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Healing Gaussian Process Experts1 Jan 2020 0 repositories listed
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Influenza Forecasting Framework based on Gaussian Processes1 Jan 2020 0 repositories listed
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Inter-domain Deep Gaussian Processes with RKHS Fourier Features1 Jan 2020 0 repositories listed