John Harlim

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Manifold Learning

Inverse Problems

Statistical Estimation

Top Venues

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

SIAM J. Numer. Anal.

Publications

John Wilson Peoples, John Harlim
A Higher Order Local Mesh Method for Approximating Laplacians on Unknown Manifolds. CoRR (2024)
Anran Jiao, Qile Yan, John Harlim, Lu Lu
Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators. CoRR (2024)
Yin Yu, John Harlim, Daning Huang, Yan Li
Learning Coarse-Grained Dynamics on Graph. CoRR (2024)
Shixiao Willing Jiang, Rongji Li, Qile Yan, John Harlim
Generalized finite difference method on unknown manifolds. J. Comput. Phys. 502 (2024)
Qile Yan, Shixiao Willing Jiang, John Harlim
Spectral methods for solving elliptic PDEs on unknown manifolds. J. Comput. Phys. 486 (2023)
Qile Yan, Shixiao W. Jiang, John Harlim
Kernel-Based Methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds. J. Sci. Comput. 94 (1) (2023)
Shixiao W. Jiang, Rongji Li, Qile Yan, John Harlim
Generalized Finite Difference Method on unknown manifolds. CoRR (2023)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. 61 (1) (2023)
Di Qi, John Harlim
A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics. J. Comput. Phys. 485 (2023)
John Harlim, Shixiao Willing Jiang, John Wilson Peoples
Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning. CoRR (2022)
Qile Yan, Shixiao W. Jiang, John Harlim
Spectral methods for solving elliptic PDEs on unknown manifolds. CoRR (2022)
Qile Yan, Shixiao Willing Jiang, John Harlim
Kernel-based methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds. CoRR (2021)
John Harlim, Shixiao W. Jiang, Hwanwoo Kim, Daniel Sanz-Alonso
Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries. CoRR (2021)
J. Wilson Peoples, John Harlim
Spectral Convergence of Symmetrized Graph Laplacian on manifolds with boundary. CoRR (2021)
He Zhang, John Harlim, Xiantao Li
Linear response based parameter estimation in the presence of model error. J. Comput. Phys. 430 (2021)
Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang
Solving PDEs on Unknown Manifolds with Machine Learning. CoRR (2021)
He Zhang, John Harlim, Xiantao Li
Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions. CoRR (2021)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine learning for prediction with missing dynamics. J. Comput. Phys. 428 (2021)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR (2021)
Shixiao W. Jiang, John Harlim
Ghost Point Diffusion Maps for solving elliptic PDE's on Manifolds with Classical Boundary Conditions. CoRR (2020)
John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. SIAM/ASA J. Uncertain. Quantification 8 (4) (2020)
He Zhang, John Harlim, Xiantao Li
Linear Response Based Parameter Estimation in the Presence of Model Error. CoRR (2019)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine Learning for Prediction with Missing Dynamics. CoRR (2019)
Faheem Gilani, John Harlim
Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel. J. Comput. Phys. 395 (2019)
John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. CoRR (2019)
He Zhang, John Harlim, Xiantao Li
Kernel Embedding Linear Response. CoRR (2019)
Shixiao W. Jiang, John Harlim
Parameter Estimation with Data-Driven Nonparametric Likelihood Functions. Entropy 21 (6) (2019)
John Harlim, Haizhao Yang
Diffusion Forecasting Model with Basis Functions from QR-Decomposition. J. Nonlinear Sci. 28 (3) (2018)
Tyrus Berry, John Harlim
Semiparametric modeling: Correcting low-dimensional model error in parametric models. J. Comput. Phys. 308 (2016)
John Harlim, Hoon Hong, Jacob L. Robbins
An algebraic method for constructing stable and consistent autoregressive filters. J. Comput. Phys. 283 (2015)
Yicun Zhen, John Harlim
Adaptive error covariances estimation methods for ensemble Kalman filters. J. Comput. Phys. 294 (2015)
Tyrus Berry, John Harlim
Nonparametric Uncertainty Quantification for Stochastic Gradient Flows. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)
John Harlim, Adam Mahdi, Andrew J. Majda
An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models. J. Comput. Phys. 257 (2014)
Eugenia S. Bakunova, John Harlim
Optimal filtering of complex turbulent systems with memory depth through consistency constraints. J. Comput. Phys. 237 (2013)
John Harlim, Andrew J. Majda
Test Models for Filtering with Superparameterization. Multiscale Model. Simul. 11 (1) (2013)
Kristen A. Brown, John Harlim
Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters. J. Comput. Phys. 235 (2013)
John Harlim
Numerical strategies for filtering partially observed stiff stochastic differential equations. J. Comput. Phys. 230 (3) (2011)
John Harlim
Interpolating Irregularly Spaced Observations for Filtering Turbulent Complex Systems. SIAM J. Sci. Comput. 33 (5) (2011)
Boris Gershgorin, John Harlim, Andrew J. Majda
Test models for improving filtering with model errors through stochastic parameter estimation. J. Comput. Phys. 229 (1) (2010)
Boris Gershgorin, John Harlim, Andrew J. Majda
Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. J. Comput. Phys. 229 (1) (2010)
John Harlim, Andrew J. Majda
Mathematical strategies for filtering complex systems: Regularly spaced sparse observations. J. Comput. Phys. 227 (10) (2008)
Emilio Castronovo, John Harlim, Andrew J. Majda
Mathematical test criteria for filtering complex systems: Plentiful observations. J. Comput. Phys. 227 (7) (2008)
John Harlim, William F. Langford
The Cusp-hopf bifurcation. Int. J. Bifurc. Chaos 17 (8) (2007)