Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes

15 August 2023

Papers citing "Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes"

7 / 7 papers shown

Title
Additive Gaussian Processes Revisited Xiaoyu Lu A. Boukouvalas J. Hensman 46 23 0 20 Jun 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis Francisco Antunes F. B. Hüttel C. L. Azevedo Francisco Câmara Pereira GP 83 24 0 20 May 2022
Physics-Guided Deep Neural Networks for Power Flow Analysis Xinyue Hu Haoji Hu Saurabh Verma Zhi-Li Zhang 207 128 0 31 Jan 2020
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,797 0 08 Jul 2018
Near-optimal Nonmyopic Value of Information in Graphical Models Andreas Krause Carlos Guestrin 98 467 0 04 Jul 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 110 331 0 19 Dec 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 181 1,626 0 21 Dec 2009