John Harlim

According to our database, John Harlim authored at least 36 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalized finite difference method on unknown manifolds.

Shixiao Willing Jiang, Rongji Li, Qile Yan, John Harlim

J. Comput. Phys., 2024

Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators.

Anran Jiao, Qile Yan, John Harlim, Lu Lu

CoRR, 2024

A Higher Order Local Mesh Method for Approximating Laplacians on Unknown Manifolds.

John Wilson Peoples, John Harlim

CoRR, 2024

Learning Coarse-Grained Dynamics on Graph.

Yin Yu, John Harlim, Daning Huang, Yan Li

CoRR, 2024

2023

Stationary Density Estimation of Itô Diffusions Using Deep Learning.

Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang

SIAM J. Numer. Anal., February, 2023

Kernel-Based Methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds.

Qile Yan, Shixiao W. Jiang, John Harlim

J. Sci. Comput., 2023

Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning.

John Harlim, Shixiao Willing Jiang, John Wilson Peoples

J. Mach. Learn. Res., 2023

Spectral methods for solving elliptic PDEs on unknown manifolds.

Qile Yan, Shixiao Willing Jiang, John Harlim

J. Comput. Phys., 2023

A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics.

Di Qi, John Harlim

J. Comput. Phys., 2023

2021

Linear response based parameter estimation in the presence of model error.

He Zhang, John Harlim, Xiantao Li

J. Comput. Phys., 2021

Machine learning for prediction with missing dynamics.

John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang

J. Comput. Phys., 2021

Spectral Convergence of Symmetrized Graph Laplacian on manifolds with boundary.

J. Wilson Peoples, John Harlim

CoRR, 2021

Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries.

John Harlim, Shixiao W. Jiang, Hwanwoo Kim, Daniel Sanz-Alonso

CoRR, 2021

Solving PDEs on Unknown Manifolds with Machine Learning.

Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang

CoRR, 2021

Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions.

He Zhang, John Harlim, Xiantao Li

CoRR, 2021

2020

Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.

John Harlim, Daniel Sanz-Alonso, Ruiyi Yang

SIAM/ASA J. Uncertain. Quantification, 2020

Ghost Point Diffusion Maps for solving elliptic PDE's on Manifolds with Classical Boundary Conditions.

Shixiao W. Jiang, John Harlim

CoRR, 2020

2019

Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel.

Faheem Gilani, John Harlim

J. Comput. Phys., 2019

Parameter Estimation with Data-Driven Nonparametric Likelihood Functions.

Shixiao W. Jiang, John Harlim

Entropy, 2019

Kernel Embedding Linear Response.

He Zhang, John Harlim, Xiantao Li

CoRR, 2019

2018

Diffusion Forecasting Model with Basis Functions from QR-Decomposition.

John Harlim, Haizhao Yang

J. Nonlinear Sci., 2018

2016

Semiparametric modeling: Correcting low-dimensional model error in parametric models.

Tyrus Berry, John Harlim

J. Comput. Phys., 2016

2015

Nonparametric Uncertainty Quantification for Stochastic Gradient Flows.

Tyrus Berry, John Harlim

SIAM/ASA J. Uncertain. Quantification, 2015

Adaptive error covariances estimation methods for ensemble Kalman filters.

Yicun Zhen, John Harlim

J. Comput. Phys., 2015

An algebraic method for constructing stable and consistent autoregressive filters.

John Harlim, Hoon Hong, Jacob L. Robbins

J. Comput. Phys., 2015

2014

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models.

John Harlim, Adam Mahdi, Andrew J. Majda

J. Comput. Phys., 2014

2013

Test Models for Filtering with Superparameterization.

John Harlim, Andrew J. Majda

Multiscale Model. Simul., 2013

Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters.

Kristen A. Brown, John Harlim

J. Comput. Phys., 2013

Optimal filtering of complex turbulent systems with memory depth through consistency constraints.

Eugenia S. Bakunova, John Harlim

J. Comput. Phys., 2013

2011

Interpolating Irregularly Spaced Observations for Filtering Turbulent Complex Systems.

John Harlim

SIAM J. Sci. Comput., 2011

Numerical strategies for filtering partially observed stiff stochastic differential equations.

John Harlim

J. Comput. Phys., 2011

2010

Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation.

Boris Gershgorin, John Harlim, Andrew J. Majda

J. Comput. Phys., 2010

Test models for improving filtering with model errors through stochastic parameter estimation.

Boris Gershgorin, John Harlim, Andrew J. Majda

J. Comput. Phys., 2010

2008

Mathematical strategies for filtering complex systems: Regularly spaced sparse observations.

John Harlim, Andrew J. Majda

J. Comput. Phys., 2008

Mathematical test criteria for filtering complex systems: Plentiful observations.

Emilio Castronovo, John Harlim, Andrew J. Majda

J. Comput. Phys., 2008

2007

The Cusp-hopf bifurcation.

John Harlim, William F. Langford

Int. J. Bifurc. Chaos, 2007