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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes CVPR 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020
Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020
Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes AISTATS 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020
Conjugate Gradients for Kernel Machines JMLR 2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning NIPS 2020
On Infinite-Width Hypernetworks NIPS 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
PointGMM: A Neural GMM Network for Point Clouds CVPR 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NIPS 2020
Sensor Placement for Spatial Gaussian Processes with Integral Observations UAI 2020
GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020
Matérn Gaussian Processes on Riemannian Manifolds NIPS 2020
Influenza Forecasting Framework based on Gaussian Processes ICML 2020