Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion

16 December 2018

Papers citing "Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion"

4 / 4 papers shown

Title
Non-Myopic Multifidelity Bayesian Optimization Francesco Di Fiore L. Mainini 94 3 0 13 Jul 2022
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders Joseph Bakarji Kathleen P. Champion J. Nathan Kutz Steven L. Brunton 109 86 0 13 Jan 2022
Coarse-scale PDEs from fine-scale observations via machine learning Seungjoon Lee M. Kooshkbaghi K. Spiliotis Constantinos Siettos Ioannis G. Kevrekidis DiffM AI4CE 59 83 0 12 Sep 2019
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime Constantin Grigo P. Koutsourelakis AI4CE 129 26 0 11 Feb 2019