John Harlim - RankMe

51 papers A* 1Journal 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Solving Forward and Inverse Partial Differential Equation Problems on Unknown Manifolds via Physics-Informed Neural Operators. SIAM J. Sci. Comput. Anran Jiao, Qile Yan, John Harlim, Lu Lu
2025	J	`jnl`	A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series. CoRR Xuyang Li, John Harlim, Romit Maulik
2025	J	`jnl`	A model-free method for discovering symmetry in differential equations. CoRR Max Kreider, John Harlim, Daning Huang
2025	J	`jnl`	Efficient MPC-Based Energy Management System for Secure and Cost-Effective Microgrid Operations. CoRR Hanyang He, John Harlim, Daning Huang, Yan Li
2025	J	`jnl`	Geometric local parameterization for solving Hele-Shaw problems with surface tension. CoRR Zengyan Zhang, Wenrui Hao, John Harlim
2025	J	`jnl`	Learning solution operator of dynamical systems with diffusion maps kernel ridge regression. CoRR Jiwoo Song, Daning Huang, John Harlim
2025	A*	`conf`	Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels. ICLR Daning Huang, Hanyang He, John Harlim, Yan Li
2024	J	`jnl`	A Higher Order Local Mesh Method for Approximating Laplacians on Unknown Manifolds. CoRR John Wilson Peoples, John Harlim
2024	J	`jnl`	Generalized finite difference method on unknown manifolds. J. Comput. Phys. Shixiao Willing Jiang, Rongji Li, Qile Yan, John Harlim
2024	J	`jnl`	Learning Coarse-Grained Dynamics on Graph. CoRR Yin Yu, John Harlim, Daning Huang, Yan Li
2024	J	`jnl`	Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators. CoRR Anran Jiao, Qile Yan, John Harlim, Lu Lu
2023	J	`jnl`	A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics. J. Comput. Phys. Di Qi, John Harlim
2023	J	`jnl`	Generalized Finite Difference Method on unknown manifolds. CoRR Shixiao W. Jiang, Rongji Li, Qile Yan, John Harlim
2023	J	`jnl`	Kernel-Based Methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds. J. Sci. Comput. Qile Yan, Shixiao W. Jiang, John Harlim
2023	J	`jnl`	Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning. J. Mach. Learn. Res. John Harlim, Shixiao Willing Jiang, John Wilson Peoples
2023	J	`jnl`	Spectral methods for solving elliptic PDEs on unknown manifolds. J. Comput. Phys. Qile Yan, Shixiao Willing Jiang, John Harlim
2023	J	`jnl`	Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
2022	J	`jnl`	Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning. CoRR John Harlim, Shixiao Willing Jiang, John Wilson Peoples
2022	J	`jnl`	Spectral methods for solving elliptic PDEs on unknown manifolds. CoRR Qile Yan, Shixiao W. Jiang, John Harlim
2021	J	`jnl`	Error Bounds of the Invariant Statistics in Machine Learning of Ergodic Itô Diffusions. CoRR He Zhang, John Harlim, Xiantao Li
2021	J	`jnl`	Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries. CoRR John Harlim, Shixiao W. Jiang, Hwanwoo Kim, Daniel Sanz-Alonso
2021	J	`jnl`	Kernel-based methods for Solving Time-Dependent Advection-Diffusion Equations on Manifolds. CoRR Qile Yan, Shixiao Willing Jiang, John Harlim
2021	J	`jnl`	Linear response based parameter estimation in the presence of model error. J. Comput. Phys. He Zhang, John Harlim, Xiantao Li
2021	J	`jnl`	Machine learning for prediction with missing dynamics. J. Comput. Phys. John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Solving PDEs on Unknown Manifolds with Machine Learning. CoRR Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang
2021	J	`jnl`	Spectral Convergence of Symmetrized Graph Laplacian on manifolds with boundary. CoRR J. Wilson Peoples, John Harlim
2021	J	`jnl`	Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
2020	J	`jnl`	Ghost Point Diffusion Maps for solving elliptic PDE's on Manifolds with Classical Boundary Conditions. CoRR Shixiao W. Jiang, John Harlim
2020	J	`jnl`	Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. SIAM/ASA J. Uncertain. Quantification John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
2019	J	`jnl`	Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel. J. Comput. Phys. Faheem Gilani, John Harlim
2019	J	`jnl`	Kernel Embedding Linear Response. CoRR He Zhang, John Harlim, Xiantao Li
2019	J	`jnl`	Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds. CoRR John Harlim, Daniel Sanz-Alonso, Ruiyi Yang
2019	J	`jnl`	Linear Response Based Parameter Estimation in the Presence of Model Error. CoRR He Zhang, John Harlim, Xiantao Li
2019	J	`jnl`	Machine Learning for Prediction with Missing Dynamics. CoRR John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
2019	J	`jnl`	Parameter Estimation with Data-Driven Nonparametric Likelihood Functions. Entropy Shixiao W. Jiang, John Harlim
2018	J	`jnl`	Diffusion Forecasting Model with Basis Functions from QR-Decomposition. J. Nonlinear Sci. John Harlim, Haizhao Yang
2016	J	`jnl`	Semiparametric modeling: Correcting low-dimensional model error in parametric models. J. Comput. Phys. Tyrus Berry, John Harlim
2015	J	`jnl`	Adaptive error covariances estimation methods for ensemble Kalman filters. J. Comput. Phys. Yicun Zhen, John Harlim
2015	J	`jnl`	An algebraic method for constructing stable and consistent autoregressive filters. J. Comput. Phys. John Harlim, Hoon Hong, Jacob L. Robbins
2015	J	`jnl`	Nonparametric Uncertainty Quantification for Stochastic Gradient Flows. SIAM/ASA J. Uncertain. Quantification Tyrus Berry, John Harlim
2014	J	`jnl`	An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models. J. Comput. Phys. John Harlim, Adam Mahdi, Andrew J. Majda
2013	J	`jnl`	Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters. J. Comput. Phys. Kristen A. Brown, John Harlim
2013	J	`jnl`	Optimal filtering of complex turbulent systems with memory depth through consistency constraints. J. Comput. Phys. Eugenia S. Bakunova, John Harlim
2013	J	`jnl`	Test Models for Filtering with Superparameterization. Multiscale Model. Simul. John Harlim, Andrew J. Majda
2011	J	`jnl`	Interpolating Irregularly Spaced Observations for Filtering Turbulent Complex Systems. SIAM J. Sci. Comput. John Harlim
2011	J	`jnl`	Numerical strategies for filtering partially observed stiff stochastic differential equations. J. Comput. Phys. John Harlim
2010	J	`jnl`	Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. J. Comput. Phys. Boris Gershgorin, John Harlim, Andrew J. Majda
2010	J	`jnl`	Test models for improving filtering with model errors through stochastic parameter estimation. J. Comput. Phys. Boris Gershgorin, John Harlim, Andrew J. Majda
2008	J	`jnl`	Mathematical strategies for filtering complex systems: Regularly spaced sparse observations. J. Comput. Phys. John Harlim, Andrew J. Majda
2008	J	`jnl`	Mathematical test criteria for filtering complex systems: Plentiful observations. J. Comput. Phys. Emilio Castronovo, John Harlim, Andrew J. Majda
2007	J	`jnl`	The Cusp-hopf bifurcation. Int. J. Bifurc. Chaos John Harlim, William F. Langford