Jonathan Weare

According to our database, Jonathan Weare authored at least 19 papers between 1998 and 2023.

Collaborative distances:

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

2023

Predicting rare events using neural networks and short-trajectory data.

John Strahan, Justin Finkel, Aaron R. Dinner, Jonathan Weare

J. Comput. Phys., September, 2023

Improved Active Learning via Dependent Leverage Score Sampling.

Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare

CoRR, 2023

Randomly sparsified Richardson iteration is really fast.

Jonathan Weare, Robert J. Webber

CoRR, 2023

2022

Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification.

Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare

SIAM J. Sci. Comput., 2022

Ensemble Markov Chain Monte Carlo with Teleporting Walkers.

Michael Lindsey, Jonathan Weare, Anna Zhang

SIAM/ASA J. Uncertain. Quantification, 2022

Symmetry Breaking and the Generation of Spin Ordered Magnetic States in Density Functional Theory Due to Dirac Exchange for a Hydrogen Molecule.

Michael J. Holst, Houdong Hu, Jianfeng Lu, Jeremy Louis Marzuola, Duo Song, Jonathan Weare

J. Nonlinear Sci., 2022

Understanding and eliminating spurious modes in variational Monte Carlo using collective variables.

Huan Zhang, Robert J. Webber, Michael Lindsey, Timothy C. Berkelbach, Jonathan Weare

CoRR, 2022

2021

Error Bounds for Dynamical Spectral Estimation.

Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare

SIAM J. Math. Data Sci., 2021

A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities.

Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare

SIAM J. Math. Data Sci., 2021

A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure.

Jacob Roth, David A. Barajas-Solano, Panos Stinis, Jonathan Weare, Mihai Anitescu

Multiscale Model. Simul., 2021

Approximating matrix eigenvalues by randomized subspace iteration.

Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare

CoRR, 2021

2020

Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo.

Aaron R. Dinner, Erik H. Thiede, Brian Van Koten, Jonathan Weare

SIAM/ASA J. Uncertain. Quantification, 2020

2018

Trajectory Stratification of Stochastic Dynamics.

Aaron R. Dinner, Jonathan C. Mattingly, Jeremy O. B. Tempkin, Brian Van Koten, Jonathan Weare

SIAM Rev., 2018

Ensemble preconditioning for Markov chain Monte Carlo simulation.

Benedict J. Leimkuhler, Charles Matthews, Jonathan Weare

Stat. Comput., 2018

2017

Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra.

Lek-Heng Lim, Jonathan Weare

SIAM Rev., 2017

2015

Sharp Entrywise Perturbation Bounds for Markov Chains.

Erik H. Thiede, Brian Van Koten, Jonathan Weare

SIAM J. Matrix Anal. Appl., 2015

2009

Variance Reduction for Particle Filters of Systems With Time Scale Separation.

Dror Givon, Panagiotis Stinis, Jonathan Weare

IEEE Trans. Signal Process., 2009

Particle filtering with path sampling and an application to a bimodal ocean current model.

Jonathan Weare

J. Comput. Phys., 2009

1998

GPCRDB: an information system for G protein-coupled receptors.

Florence Horn, Jonathan Weare, Margot W. Beukers, S. Hörsch, Amos Bairoch, W. Chen, Øyvind Edvardsen, Fabien Campagne, Gert Vriend

Nucleic Acids Res., 1998