Deep Gaussian Covariance Network

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Deep Gaussian Covariance Network

17 October 2017

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Papers citing "Deep Gaussian Covariance Network"

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Title
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals M. Trapp Can Bogoclu Tamara Nestorović D. Roos 55 14 0 18 Jan 2024
Object Location Prediction in Real-time using LSTM Neural Network and Polynomial Regression Petar Stojković Predrag Tadić 13 1 0 23 Nov 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset Weijie Liu Xiaoxi Zhang Jingpu Duan Carlee Joe-Wong Zhi Zhou Xu Chen 73 9 0 20 Oct 2023
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit Sven Lämmle Can Bogoclu K. Cremanns D. Roos 54 5 0 29 Sep 2023
Neural Bayes estimators for censored inference with peaks-over-threshold models J. Richards Matthew Sainsbury-Dale A. Zammit‐Mangion Raphael Huser 433 10 0 27 Jun 2023
Fast parameter estimation of Generalized Extreme Value distribution using Neural Networks Sweta Rai Alexis L Hoffman S. Lahiri D. Nychka S. Sain S. Bandyopadhyay 411 9 0 07 May 2023
Neural Networks for Parameter Estimation in Intractable Models Amanda Lenzi J. Bessac J. Rudi Michael L. Stein BDL 394 54 0 29 Jul 2021
Calibrated simplex-mapping classification R. Heese J. Schmid Michal Walczak Michael Bortz 57 3 0 04 Mar 2021
Fast covariance parameter estimation of spatial Gaussian process models using neural networks Florian Gerber D. Nychka 309 38 0 30 Dec 2020
Deep Latent-Variable Kernel Learning Haitao Liu Yew-Soon Ong Xiaomo Jiang Xiaofang Wang BDL 59 8 0 18 May 2020
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018