Jonathan Weare

32 papers A* 2Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum statistics from classical simulations via generative Gibbs sampling. CoRR Weizhou Wang, Xuanxi Zhang, Jonathan Weare, Aaron R. Dinner
2025	J	`jnl`	An exact multiple-time-step variational formulation for the committor and the transition rate. CoRR Chatipat Lorpaiboon, Jonathan Weare, Aaron R. Dinner
2025	J	`jnl`	Sampling Parameters of Ordinary Differential Equations with Constrained Langevin Dynamics. SIAM/ASA J. Uncertain. Quantification Chris Chi, Jonathan Weare, Aaron R. Dinner
2024	J	`jnl`	Can AI weather models predict out-of-distribution gray swan tropical cyclones? CoRR Y. Qiang Sun, Pedram Hassanzadeh, Mohsen Zand, Ashesh Chattopadhyay, Jonathan Weare, Dorian S. Abbot
2024	J	`jnl`	Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias. CoRR Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed, Jonathan Weare
2024	A*	`conf`	Improved Active Learning via Dependent Leverage Score Sampling. ICLR Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare
2024	A*	`conf`	The surprising efficiency of temporal difference learning for rare event prediction. NeurIPS Xiaoou Cheng, Jonathan Weare
2024	J	`jnl`	The surprising efficiency of temporal difference learning for rare event prediction. CoRR Xiaoou Cheng, Jonathan Weare
2024	J	`jnl`	geom2vec: pretrained GNNs as geometric featurizers for conformational dynamics. CoRR Zihan Pengmei, Chatipat Lorpaiboon, Spencer C. Guo, Jonathan Weare, Aaron R. Dinner
2023	J	`jnl`	Improved Active Learning via Dependent Leverage Score Sampling. CoRR Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare
2023	J	`jnl`	Predicting rare events using neural networks and short-trajectory data. J. Comput. Phys. John Strahan, Justin Finkel, Aaron R. Dinner, Jonathan Weare
2023	J	`jnl`	Randomly sparsified Richardson iteration is really fast. CoRR Jonathan Weare, Robert J. Webber
2022	J	`jnl`	Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification. SIAM J. Sci. Comput. Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare
2022	J	`jnl`	Ensemble Markov Chain Monte Carlo with Teleporting Walkers. SIAM/ASA J. Uncertain. Quantification Michael Lindsey, Jonathan Weare, Anna Zhang
2022	J	`jnl`	Symmetry Breaking and the Generation of Spin Ordered Magnetic States in Density Functional Theory Due to Dirac Exchange for a Hydrogen Molecule. J. Nonlinear Sci. Michael J. Holst, Houdong Hu, Jianfeng Lu, Jeremy Louis Marzuola, Duo Song, Jonathan Weare
2022	J	`jnl`	Understanding and eliminating spurious modes in variational Monte Carlo using collective variables. CoRR Huan Zhang, Robert J. Webber, Michael Lindsey, Timothy C. Berkelbach, Jonathan Weare
2021	J	`jnl`	A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. Multiscale Model. Simul. Jacob Roth, David A. Barajas-Solano, Panos Stinis, Jonathan Weare, Mihai Anitescu
2021	J	`jnl`	A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities. SIAM J. Math. Data Sci. Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare
2021	J	`jnl`	Approximating matrix eigenvalues by randomized subspace iteration. CoRR Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare
2021	J	`jnl`	Ensemble Markov chain Monte Carlo with teleporting walkers. CoRR Michael Lindsey, Jonathan Weare, Anna Zhang
2021	J	`jnl`	Error Bounds for Dynamical Spectral Estimation. SIAM J. Math. Data Sci. Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
2020	J	`jnl`	A metric on directed graphs and Markov chains based on hitting probabilities. CoRR Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare
2020	J	`jnl`	Error bounds for dynamical spectral estimation. CoRR Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
2020	J	`jnl`	Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification Aaron R. Dinner, Erik H. Thiede, Brian Van Koten, Jonathan Weare
2019	J	`jnl`	A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure. CoRR Jacob Roth, David A. Barajas-Solano, Panagiotis Stinis, Jonathan Weare, Mihai Anitescu
2018	J	`jnl`	Ensemble preconditioning for Markov chain Monte Carlo simulation. Stat. Comput. Benedict J. Leimkuhler, Charles Matthews, Jonathan Weare
2018	J	`jnl`	Trajectory Stratification of Stochastic Dynamics. SIAM Rev. Aaron R. Dinner, Jonathan C. Mattingly, Jeremy O. B. Tempkin, Brian Van Koten, Jonathan Weare
2017	J	`jnl`	Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra. SIAM Rev. Lek-Heng Lim, Jonathan Weare
2015	J	`jnl`	Sharp Entrywise Perturbation Bounds for Markov Chains. SIAM J. Matrix Anal. Appl. Erik H. Thiede, Brian Van Koten, Jonathan Weare
2009	J	`jnl`	Particle filtering with path sampling and an application to a bimodal ocean current model. J. Comput. Phys. Jonathan Weare
2009	J	`jnl`	Variance Reduction for Particle Filters of Systems With Time Scale Separation. IEEE Trans. Signal Process. Dror Givon, Panagiotis Stinis, Jonathan Weare
1998	J	`jnl`	GPCRDB: an information system for G protein-coupled receptors. Nucleic Acids Res. Florence Horn, Jonathan Weare, Margot W. Beukers, S. Hörsch, Amos Bairoch, W. Chen, Øyvind Edvardsen, Fabien Campagne, Gert Vriend