The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems

16 November 2016

Papers citing "The Bayesian Formulation and Well-Posedness of Fractional Elliptic Inverse Problems"

5 / 5 papers shown

Title
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification Yiming Fan M. DÉlia Yue Yu H. Najm Stewart Silling 24 3 0 06 Oct 2022
Data-Driven Forward Discretizations for Bayesian Inversion Daniele Bigoni Yuming Chen Nicolas García Trillos Youssef Marzouk D. Sanz-Alonso AI4CE 36 11 0 18 Mar 2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds J. Harlim D. Sanz-Alonso Ruiyi Yang 24 19 0 23 Oct 2019
Machine Learning of Space-Fractional Differential Equations Mamikon A. Gulian M. Raissi P. Perdikaris George Karniadakis 22 46 0 02 Aug 2018
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms Nicolas García Trillos Zachary T. Kaplan Thabo Samakhoana D. Sanz-Alonso 25 19 0 20 Oct 2017