Jonathan Weare

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All published works
Action Title Year Authors
+ PDF Chat Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamics 2025 Zihan Pengmei
Chatipat Lorpaiboon
Spencer C. Guo
Jonathan Weare
Aaron R. Dinner
+ Using Explainable AI and Transfer Learning to Understand and Predict the Maintenance of Atlantic Blocking With Limited Observational Data 2024 Huan Zhang
Justin Finkel
Dorian S. Abbot
Edwin P. Gerber
Jonathan Weare
+ PDF Chat Can AI weather models predict out-of-distribution gray swan tropical cyclones? 2024 Y. Qiang Sun
Pedram Hassanzadeh
M Lashti Zand
Ashesh Chattopadhyay
Jonathan Weare
Dorian S. Abbot
+ PDF Chat geom2vec: pretrained GNNs as geometric featurizers for conformational dynamics 2024 Zihan Pengmei
Chatipat Lorpaiboon
Spencer C. Guo
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints 2024 Chris Chi
Jonathan Weare
Aaron R. Dinner
+ PDF Chat BAD-NEUS: Rapidly converging trajectory stratification 2024 John Strahan
Chatipat Lorpaiboon
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias 2024 Yifan Chen
Xiaoou Cheng
Jonathan Niles‐Weed
Jonathan Weare
+ PDF Chat The surprising efficiency of temporal difference learning for rare event prediction 2024 Xiaoou Cheng
Jonathan Weare
+ PDF Chat Mercury’s Chaotic Secular Evolution as a Subdiffusive Process 2024 Dorian S. Abbot
Robert J. Webber
David Manuel Hernández
Sam Hadden
Jonathan Weare
+ PDF Chat BAD-NEUS: Rapidly converging trajectory stratification 2024 John Strahan
Chatipat Lorpaiboon
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data 2024 Huan Zhang
Justin Finkel
Dorian S. Abbot
Edwin P. Gerber
Jonathan Weare
+ PDF Chat Accurate estimates of dynamical statistics using memory 2024 Chatipat Lorpaiboon
Spencer C. Guo
John Strahan
Jonathan Weare
Aaron R. Dinner
+ PDF Chat AI Can Identify Solar System Instability Billions of Years in Advance 2024 Dorian S. Abbot
J. D. Laurence-Chasen
Robert J. Webber
David M. Hernandez
Jonathan Weare
+ Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction 2023 John Strahan
Spencer C. Guo
Chatipat Lorpaiboon
Aaron R. Dinner
Jonathan Weare
+ PDF Chat Understanding and eliminating spurious modes in variational Monte Carlo using collective variables 2023 Huan Zhang
Robert J. Webber
Michael Lindsey
Timothy C. Berkelbach
Jonathan Weare
+ PDF Chat Predicting rare events using neural networks and short-trajectory data 2023 John Strahan
Justin Finkel
Aaron R. Dinner
Jonathan Weare
+ PDF Chat Revealing the Statistics of Extreme Events Hidden in Short Weather Forecast Data 2023 Justin Finkel
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ PDF Chat Simple Physics and Integrators Accurately Reproduce Mercury Instability Statistics 2023 Dorian S. Abbot
David M. Hernandez
Sam Hadden
Robert J. Webber
Georgios P. Afentakis
Jonathan Weare
+ Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event prediction 2023 John Strahan
Spencer C. Guo
Chatipat Lorpaiboon
Aaron R. Dinner
Jonathan Weare
+ Mercury's chaotic secular evolution as a subdiffusive process 2023 Dorian S. Abbot
Robert J. Webber
David Manuel Hernández
Sam Hadden
Jonathan Weare
+ Randomly sparsified Richardson iteration is really fast 2023 Jonathan Weare
Robert J. Webber
+ Improved Active Learning via Dependent Leverage Score Sampling 2023 Atsushi Shimizu
Xiaoou Cheng
Christopher Musco
Jonathan Weare
+ Accurate estimates of dynamical statistics using memory 2023 Chatipat Lorpaiboon
Spencer C. Guo
John Strahan
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification 2022 Samuel M. Greene
Robert J. Webber
James E. T. Smith
Jonathan Weare
Timothy C. Berkelbach
+ Data-Driven Transition Path Analysis Yields a Statistical Understanding of Sudden Stratospheric Warming Events in an Idealized Model 2022 Justin Finkel
Robert J. Webber
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ PDF Chat Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification 2022 Samuel M. Greene
Robert J. Webber
Timothy C. Berkelbach
Jonathan Weare
+ PDF Chat Augmented transition path theory for sequences of events 2022 Chatipat Lorpaiboon
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Ensemble Markov Chain Monte Carlo with Teleporting Walkers 2022 Michael Lindsey
Jonathan Weare
Anna Zhang
+ PDF Chat Computing transition path theory quantities with trajectory stratification 2022 Bodhi P. Vani
Jonathan Weare
Aaron R. Dinner
+ Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification: Active Space Orbitals 2022 Samuel M. Greene
Robert J. Webber
James E. T. Smith
Jonathan Weare
Timothy C. Berkelbach
+ Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification: Active Space Orbitals 2022 Samuel M. Greene
Robert J. Webber
James E. T. Smith
Jonathan Weare
Timothy C. Berkelbach
+ Full Configuration Interaction Excited-State Energies in Large Active Spaces from Subspace Iteration with Repeated Random Sparsification 2022 Samuel M. Greene
Robert J. Webber
James E. T. Smith
Jonathan Weare
Timothy C. Berkelbach
+ Augmented Transition Path Theory for Sequences of Events 2022 Chatipat Lorpaiboon
Jonathan Weare
Aaron R. Dinner
+ Revealing the statistics of extreme events hidden in short weather forecast data 2022 Justin Finkel
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ Predicting rare events using neural networks and short-trajectory data 2022 John Strahan
Justin Finkel
Aaron R. Dinner
Jonathan Weare
+ Understanding and eliminating spurious modes in variational Monte Carlo using collective variables 2022 Huan Zhang
Robert J. Webber
Michael Lindsey
Timothy C. Berkelbach
Jonathan Weare
+ Simple physics and integrators accurately reproduce Mercury instability statistics 2022 Dorian S. Abbot
David Manuel Hernández
Sam Hadden
Robert J. Webber
Georgios P. Afentakis
Jonathan Weare
+ Rare Event Sampling Improves Mercury Instability Statistics 2021 Dorian S. Abbot
Robert J. Webber
Sam Hadden
Darryl Z. Seligman
Jonathan Weare
+ PDF Chat Learning Forecasts of Rare Stratospheric Transitions from Short Simulations 2021 Justin Finkel
Robert J. Webber
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ Exploring stratospheric rare events with transition path theory and short simulations 2021 Justin Finkel
Robert J. Webber
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ Long-Time-Scale Predictions from Short-Trajectory Data: A Benchmark Analysis of the Trp-Cage Miniprotein 2021 John Strahan
Adam Antoszewski
Chatipat Lorpaiboon
Bodhi P. Vani
Jonathan Weare
Aaron R. Dinner
+ Approximating matrix eigenvalues by randomized subspace iteration. 2021 Samuel M. Greene
Robert J. Webber
Timothy C. Berkelbach
Jonathan Weare
+ Randomized subspace iteration--data from numerical experiments 2021 Samuel M. Greene
Robert J. Webber
Timothy C. Berkelbach
Jonathan Weare
+ Randomized subspace iteration--data from numerical experiments 2021 Samuel M. Greene
Robert J. Webber
Timothy C. Berkelbach
Jonathan Weare
+ Learning forecasts of rare stratospheric transitions from short simulations 2021 Justin Finkel
Robert J. Webber
Dorian S. Abbot
Edwin P. Gerber
Jonathan Weare
+ PDF Chat A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure 2021 J. P. Roth
David A. Barajas‐Solano
Panos Stinis
Jonathan Weare
Mihai Anitescu
+ PDF Chat Error Bounds for Dynamical Spectral Estimation 2021 Robert J. Webber
Erik H. Thiede
Douglas Dow
Aaron R. Dinner
Jonathan Weare
+ PDF Chat A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities 2021 Zachary M. Boyd
Nicolás Fraiman
Jeremy L. Marzuola
Peter J. Mucha
Braxton Osting
Jonathan Weare
+ Data-driven transition path analysis yields a statistical understanding of sudden stratospheric warming events in an idealized model 2021 Justin Finkel
Robert J. Webber
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
+ Approximating matrix eigenvalues by subspace iteration with repeated random sparsification 2021 Samuel M. Greene
Robert J. Webber
Timothy C. Berkelbach
Jonathan Weare
+ Ensemble Markov chain Monte Carlo with teleporting walkers 2021 Michael Lindsey
Jonathan Weare
Anna Zhang
+ Integrated Variational Approach to Conformational Dynamics: A Robust Strategy for Identifying Eigenfunctions of Dynamical Operators 2020 Chatipat Lorpaiboon
Erik H. Thiede
Robert J. Webber
Jonathan Weare
Aaron R. Dinner
+ Long-timescale predictions from short-trajectory data: A benchmark analysis of the trp-cage miniprotein 2020 John Strahan
Adam Antoszewski
Chatipat Lorpaiboon
Bodhi P. Vani
Jonathan Weare
Aaron R. Dinner
+ PDF Chat Improved Fast Randomized Iteration Approach to Full Configuration Interaction 2020 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ Integrated VAC: A robust strategy for identifying eigenfunctions of dynamical operators 2020 Chatipat Lorpaiboon
Erik H. Thiede
Robert J. Webber
Jonathan Weare
Aaron R. Dinner
+ A metric on directed graphs and Markov chains based on hitting probabilities 2020 Zachary M. Boyd
Nicolás Fraiman
Jeremy L. Marzuola
Peter J. Mucha
Braxton Osting
Jonathan Weare
+ Error bounds for dynamical spectral estimation. 2020 Robert J. Webber
Erik H. Thiede
Douglas Dow
Aaron R. Dinner
Jonathan Weare
+ PDF Chat Path Properties of Atmospheric Transitions: Illustration with a Low-Order Sudden Stratospheric Warming Model 2020 Justin Finkel
Dorian S. Abbot
Jonathan Weare
+ Improved Fast Randomized Iteration Approach to Full Configuration Interaction 2020 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ PDF Chat Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo 2020 Aaron R. Dinner
Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ Integrated VAC: A robust strategy for identifying eigenfunctions of dynamical operators 2020 Chatipat Lorpaiboon
Erik H. Thiede
Robert J. Webber
Jonathan Weare
Aaron R. Dinner
+ Long-timescale predictions from short-trajectory data: A benchmark analysis of the trp-cage miniprotein 2020 John Strahan
Adam Antoszewski
Chatipat Lorpaiboon
Bodhi P. Vani
Jonathan Weare
Aaron R. Dinner
+ A metric on directed graphs and Markov chains based on hitting probabilities 2020 Zachary M. Boyd
Nicolás Fraiman
Jeremy L. Marzuola
Peter J. Mucha
Braxton Osting
Jonathan Weare
+ Error bounds for dynamical spectral estimation 2020 Robert J. Webber
Erik H. Thiede
Douglas Dow
Aaron R. Dinner
Jonathan Weare
+ Improved Fast Randomized Iteration Approach to Full Configuration Interaction 2020 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure 2019 J. P. Roth
David A. Barajas‐Solano
Panos Stinis
Jonathan Weare
Mihai Anitescu
+ PDF Chat Beyond Walkers in Stochastic Quantum Chemistry: Reducing Error Using Fast Randomized Iteration 2019 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ PDF Chat Galerkin approximation of dynamical quantities using trajectory data 2019 Erik H. Thiede
Dimitrios Giannakis
Aaron R. Dinner
Jonathan Weare
+ Beyond Walkers in Stochastic Quantum Chemistry: Reducing Error using Fast Randomized Iteration 2019 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ PDF Chat Practical rare event sampling for extreme mesoscale weather 2019 Robert J. Webber
D. A. Plotkin
Morgan O’Neill
Dorian S. Abbot
Jonathan Weare
+ PDF Chat Maximizing Simulated Tropical Cyclone Intensity With Action Minimization 2019 D. A. Plotkin
Robert J. Webber
Morgan O’Neill
Jonathan Weare
Dorian S. Abbot
+ A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure 2019 Jacob S. Roth
David A. Barajas‐Solano
Panos Stinis
Jonathan Weare
Mihai Anitescu
+ Beyond Walkers in Stochastic Quantum Chemistry: Reducing Error using Fast Randomized Iteration 2019 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
+ PDF Chat Umbrella sampling: a powerful method to sample tails of distributions 2018 Charles H. Matthews
Jonathan Weare
Andrey V. Kravtsov
Elise Jennings
+ Langevin Markov Chain Monte Carlo with stochastic gradients 2018 Charles H. Matthews
Jonathan Weare
+ Simulating the stochastic dynamics and cascade failure of power networks 2018 Charles H. Matthews
Bradly C. Stadie
Jonathan Weare
Mihai Anitescu
Christopher L. DeMarco
+ PDF Chat Trajectory Stratification of Stochastic Dynamics 2018 Aaron R. Dinner
Jonathan C. Mattingly
Jeremy O. B. Tempkin
Brian Van Koten
Jonathan Weare
+ Stratification of Markov Chain Monte Carlo 2017 Aaron R. Dinner
Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ Stratification as a general variance reduction method for Markov chain Monte Carlo 2017 Aaron R. Dinner
Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ PDF Chat Ensemble preconditioning for Markov chain Monte Carlo simulation 2017 Benedict Leimkuhler
Charles H. Matthews
Jonathan Weare
+ PDF Chat Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra 2017 Lek-Heng Lim
Jonathan Weare
+ Stratification as a general variance reduction method for Markov chain Monte Carlo 2017 Aaron R. Dinner
Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ PDF Chat Eigenvector method for umbrella sampling enables error analysis 2016 Erik H. Thiede
Brian Van Koten
Jonathan Weare
Aaron R. Dinner
+ Ensemble preconditioning for Markov chain Monte Carlo simulation 2016 Charles H. Matthews
Jonathan Weare
Benedict Leimkuhler
+ PDF Chat Multiple Time-Step Dual-Hamiltonian Hybrid Molecular Dynamics – Monte Carlo Canonical Propagation Algorithm 2016 Yunjie Chen
Seyit Kale
Jonathan Weare
Aaron R. Dinner
Benoı̂t Roux
+ Ensemble preconditioning for Markov chain Monte Carlo simulation 2016 Charles E. Matthews
Jonathan Weare
Benedict Leimkuhler
+ Trajectory stratification of stochastic dynamics 2016 Aaron R. Dinner
Jonathan C. Mattingly
Jeremy O. B. Tempkin
Brian Van Koten
Jonathan Weare
+ PDF Chat Sharp Entrywise Perturbation Bounds for Markov Chains 2015 Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ PDF Chat The Brownian Fan 2014 Martin Hairer
Jonathan Weare
+ Sharp entrywise perturbation bounds for Markov chains 2014 Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ PDF Chat Improved Diffusion Monte Carlo 2014 Martin Hairer
Jonathan Weare
+ The Brownian fan 2014 Martin Hairer
Jonathan Weare
+ Sharp entrywise perturbation bounds for Markov chains 2014 Erik H. Thiede
Brian Van Koten
Jonathan Weare
+ The Brownian fan 2014 Martin Hairer
Jonathan Weare
+ PDF Chat Relaxation of a family of broken-bond crystal-surface models 2013 Jeremy L. Marzuola
Jonathan Weare
+ PDF Chat Relaxation of a family of broken-bond crystal-surface models 2013 Jeremy L. Marzuola
Jonathan Weare
+ Improved diffusion Monte Carlo and the Brownian fan 2012 Jonathan Weare
Martin Hairer
+ PDF Chat Data Assimilation in the Low Noise Regime with Application to the Kuroshio 2012 Eric Vanden‐Eijnden
Jonathan Weare
+ Improved diffusion Monte Carlo and the Brownian fan 2012 Martin Hairer
Jonathan Weare
+ Improved diffusion Monte Carlo 2012 Martin Hairer
Jonathan Weare
+ PDF Chat Steered transition path sampling 2012 Nicholas Guttenberg
Aaron R. Dinner
Jonathan Weare
+ DATA ASSIMILATION IN THE LOW NOISE, ACCURATE OBSERVATION REGIME WITH APPLICATION TO THE KUROSHIO CURRENT 2012 Eric Vanden‐Eijnden
Jonathan Weare
+ PDF Chat AN AFFINE-INVARIANT SAMPLER FOR EXOPLANET FITTING AND DISCOVERY IN RADIAL VELOCITY DATA 2012 Fengji Hou
Jonathan Goodman
David W. Hogg
Jonathan Weare
Christian Schwab
+ Improved diffusion Monte Carlo 2012 Martin Hairer
Jonathan Weare
+ The evolution of a crystal surface: Analysis of a one-dimensional step train connecting two facets in the ADL regime 2011 Hala Al Hajj Shehadeh
Robert V. Kohn
Jonathan Weare
+ PDF Chat Ensemble samplers with affine invariance 2010 Jonathan Goodman
Jonathan Weare
+ PDF Chat Variance Reduction for Particle Filters of Systems With Time Scale Separation 2008 Dror Givon
Panos Stinis
Jonathan Weare
+ PDF Chat Efficient Monte Carlo sampling by parallel marginalization 2007 Jonathan Weare
+ Dimensional reduction for particle filters of systems with time-scale separation 2007 Dror Givon
Panagiotis Stinis
Jonathan Weare
+ Parallel marginalization Monte Carlo with applications to conditional path sampling 2007 Jonathan Weare
+ Variance reduction for particle filters of systems with time-scale separation 2007 Dror Givon
Panagiotis Stinis
Jonathan Weare
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Galerkin approximation of dynamical quantities using trajectory data 2019 Erik H. Thiede
Dimitrios Giannakis
Aaron R. Dinner
Jonathan Weare
20
+ <tt>emcee</tt>: The MCMC Hammer 2013 Daniel Foreman-Mackey
David W. Hogg
Dustin Lang
Jonathan Goodman
15
+ PDF Chat VAMPnets for deep learning of molecular kinetics 2017 Andreas Mardt
Luca Pasquali
Hao Wu
Frank Noé
12
+ Integrated Variational Approach to Conformational Dynamics: A Robust Strategy for Identifying Eigenfunctions of Dynamical Operators 2020 Chatipat Lorpaiboon
Erik H. Thiede
Robert J. Webber
Jonathan Weare
Aaron R. Dinner
11
+ PDF Chat A Variational Approach to Modeling Slow Processes in Stochastic Dynamical Systems 2013 Frank Noé
Feliks Nüske
10
+ Long-Time-Scale Predictions from Short-Trajectory Data: A Benchmark Analysis of the Trp-Cage Miniprotein 2021 John Strahan
Adam Antoszewski
Chatipat Lorpaiboon
Bodhi P. Vani
Jonathan Weare
Aaron R. Dinner
10
+ PDF Chat Variational Koopman models: Slow collective variables and molecular kinetics from short off-equilibrium simulations 2017 Hao Wu
Feliks Nüske
Fabian Paul
Stefan Klus
Péter Koltai
Frank Noé
9
+ PDF Chat Eigenvector method for umbrella sampling enables error analysis 2016 Erik H. Thiede
Brian Van Koten
Jonathan Weare
Aaron R. Dinner
9
+ PDF Chat Identification of slow molecular order parameters for Markov model construction 2013 Guillermo Pérez-Hernández
Fabian Paul
Toni Giorgino
Gianni De Fabritiis
Frank Noé
9
+ PDF Chat Learning Forecasts of Rare Stratospheric Transitions from Short Simulations 2021 Justin Finkel
Robert J. Webber
Edwin P. Gerber
Dorian S. Abbot
Jonathan Weare
8
+ PDF Chat Nonlinear discovery of slow molecular modes using state-free reversible VAMPnets 2019 Wei Chen
Hythem Sidky
Andrew L. Ferguson
8
+ PDF Chat Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo 2020 Aaron R. Dinner
Erik H. Thiede
Brian Van Koten
Jonathan Weare
8
+ PDF Chat Linear-scaling and parallelisable algorithms for stochastic quantum chemistry 2014 George H. Booth
Simon D. Smart
Ali Alavi
8
+ PDF Chat Computation of extreme heat waves in climate models using a large deviation algorithm 2017 Francesco Ragone
Jeroen Wouters
Freddy Bouchet
8
+ A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition 2015 Matthew O. Williams
Ioannis G. Kevrekidis
Clarence W. Rowley
7
+ PDF Chat Semistochastic Projector Monte Carlo Method 2012 F. R. Petruzielo
Adam Holmes
Hitesh J. Changlani
M. P. Nightingale
C. J. Umrigar
7
+ PDF Chat Ab initio computations of molecular systems by the auxiliary‐field quantum Monte Carlo method 2018 Mário Motta
Shiwei Zhang
7
+ PDF Chat Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra 2017 Lek-Heng Lim
Jonathan Weare
7
+ PDF Chat Path Properties of Atmospheric Transitions: Illustration with a Low-Order Sudden Stratospheric Warming Model 2020 Justin Finkel
Dorian S. Abbot
Jonathan Weare
7
+ The full configuration interaction quantum Monte Carlo method in the lens of inexact power iteration 2017 Jianfeng Lu
Zhe Wang
7
+ PDF Chat Maximizing Simulated Tropical Cyclone Intensity With Action Minimization 2019 D. A. Plotkin
Robert J. Webber
Morgan O’Neill
Jonathan Weare
Dorian S. Abbot
7
+ PDF Chat Beyond Walkers in Stochastic Quantum Chemistry: Reducing Error Using Fast Randomized Iteration 2019 Samuel M. Greene
Robert J. Webber
Jonathan Weare
Timothy C. Berkelbach
7
+ Numerical Methods for Large Eigenvalue Problems 2011 Yousef Saad
7
+ PDF Chat Data Assimilation in the Low Noise Regime with Application to the Kuroshio 2012 Eric Vanden‐Eijnden
Jonathan Weare
7
+ PDF Chat Ensemble samplers with affine invariance 2010 Jonathan Goodman
Jonathan Weare
7
+ PDF Chat Data-Driven Model Reduction and Transfer Operator Approximation 2018 Stefan Klus
Feliks Nüske
Péter Koltai
Hao Wu
Ioannis G. Kevrekidis
Christof Schütte
Frank Noé
7
+ PDF Chat Krylov-Projected Quantum Monte Carlo Method 2015 Nick S. Blunt
Ali Alavi
George H. Booth
7
+ PDF Chat Simulating rare events in equilibrium or nonequilibrium stochastic systems 2006 Rosalind J. Allen
Daan Frenkel
Pieter Rein ten Wolde
7
+ PDF Chat Sharp Entrywise Perturbation Bounds for Markov Chains 2015 Erik H. Thiede
Brian Van Koten
Jonathan Weare
7
+ PDF Chat The Geometry of Algorithms with Orthogonality Constraints 1998 Alan Edelman
T. A. Arias
Steven T. Smith
6
+ PDF Chat Sign problem in full configuration interaction quantum Monte Carlo: Linear and sublinear representation regimes for the exact wave function 2014 James J. Shepherd
Gustavo E. Scuseria
James S. Spencer
6
+ PDF Chat An excited-state approach within full configuration interaction quantum Monte Carlo 2015 Nick S. Blunt
Simon D. Smart
George H. Booth
Ali Alavi
6
+ Rare Event Sampling Improves Mercury Instability Statistics 2021 Dorian S. Abbot
Robert J. Webber
Sam Hadden
Darryl Z. Seligman
Jonathan Weare
6
+ PDF Chat Understanding and improving the efficiency of full configuration interaction quantum Monte Carlo 2016 W. A. Vigor
James S. Spencer
Michael J. Bearpark
Alex J. W. Thom
6
+ PDF Chat Improved Diffusion Monte Carlo 2014 Martin Hairer
Jonathan Weare
6
+ PDF Chat Trajectory Stratification of Stochastic Dynamics 2018 Aaron R. Dinner
Jonathan C. Mattingly
Jeremy O. B. Tempkin
Brian Van Koten
Jonathan Weare
6
+ PDF Chat Steered transition path sampling 2012 Nicholas Guttenberg
Aaron R. Dinner
Jonathan Weare
6
+ PDF Chat Exciting Determinants in Quantum Monte Carlo: Loading the Dice with Fast, Low-Memory Weights 2018 Verena A. Neufeld
Alex J. W. Thom
6
+ PDF Chat Semistochastic Heat-Bath Configuration Interaction Method: Selected Configuration Interaction with Semistochastic Perturbation Theory 2017 Sandeep Sharma
Adam Holmes
Guillaume Jeanmairet
Ali Alavi
C. J. Umrigar
6
+ PDF Chat Practical rare event sampling for extreme mesoscale weather 2019 Robert J. Webber
D. A. Plotkin
Morgan O’Neill
Dorian S. Abbot
Jonathan Weare
6
+ Novel approach to nonlinear/non-Gaussian Bayesian state estimation 1993 Neil Gordon
David Salmond
A. F. M. Smith
6
+ PDF Chat Rogue waves and large deviations in deep sea 2018 Giovanni Dematteis
Tobias Grafke
Eric Vanden‐Eijnden
6
+ PDF Chat Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors 2011 Nicolás Chopin
Tony Lelièvre
Gabriel Stoltz
6
+ PDF Chat Rational Construction of Stochastic Numerical Methods for Molecular Sampling 2012 Benedict Leimkuhler
Charles H. Matthews
6
+ PDF Chat Variational tensor approach for approximating the rare-event kinetics of macromolecular systems 2016 Feliks Nüske
Reinhold Schneider
F. Vitalini
Frank Noé
5
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
5
+ Accelerating the orthogonal iteration for the eigenvectors of a Hermitian matrix 1969 G. W. Stewart
5
+ PDF Chat Deterministic Nonperiodic Flow 1963 Edward N. Lorenz
5
+ Comparison of perturbation bounds for the stationary distribution of a Markov chain 2001 Grace E. Cho
Carl D. Meyer
5
+ PDF Chat Exponential Convergence of Langevin Distributions and Their Discrete Approximations 1996 Gareth O. Roberts
Richard L. Tweedie
5