Benedict J. Leimkuhler

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 25

Top Topics

Numerical Algorithms

Top Venues

J. Comput. Phys.

Publications

Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. SIAM J. Numer. Anal. 62 (3) (2024)
Peter A. Whalley, Daniel Paulin, Benedict J. Leimkuhler
Randomized time Riemannian Manifold Hamiltonian Monte Carlo. Stat. Comput. 34 (1) (2024)
Dominic Phillips, Charles Matthews, Benedict J. Leimkuhler
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. CoRR (2023)
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators. CoRR (2023)
Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. CoRR (2023)
Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. CoRR (2023)
Benedict J. Leimkuhler, Matthias Sachs
Efficient Numerical Algorithms for the Generalized Langevin Equation. SIAM J. Sci. Comput. 44 (1) (2022)
Tiffany J. Vlaar, Benedict J. Leimkuhler
Multirate Training of Neural Networks. ICML (2022)
Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothée Pouchon, Amos J. Storkey
Better Training using Weight-Constrained Stochastic Dynamics. ICML (2021)
Benedict J. Leimkuhler, Tiffany Vlaar, Timothée Pouchon, Amos J. Storkey
Better Training using Weight-Constrained Stochastic Dynamics. CoRR (2021)
Tiffany Vlaar, Benedict J. Leimkuhler
Multirate Training of Neural Networks. CoRR (2021)
Benedict J. Leimkuhler, Timothée Pouchon, Tiffany Vlaar, Amos J. Storkey
Constraint-Based Regularization of Neural Networks. CoRR (2020)
Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz
Hypocoercivity Properties of Adaptive Langevin Dynamics. SIAM J. Appl. Math. 80 (3) (2020)
Benedict J. Leimkuhler, Matthias Sachs
Efficient Numerical Algorithms for the Generalized Langevin Equation. CoRR (2020)
Benedict J. Leimkuhler, A. Sharma, Michael V. Tretyakov
Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions. CoRR (2020)
Benedict J. Leimkuhler, Charles Matthews, Tiffany Vlaar
Partitioned integrators for thermodynamic parameterization of neural networks. CoRR (2019)
Frederik Heber, Zofia Trstanova, Benedict J. Leimkuhler
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications. CoRR (2019)
Iain Bethune, Ralf Banisch, Elena Breitmoser, Antonia B. K. Collis, Gordon Gibb, Gianpaolo Gobbo, Charles Matthews, Graeme J. Ackland, Benedict J. Leimkuhler
MIST: A simple and efficient molecular dynamics abstraction library for integrator development. Comput. Phys. Commun. 236 (2019)
Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz
Hypocoercivity properties of adaptive Langevin dynamics. CoRR (2019)
Zofia Trstanova, A. Martinsson, C. Matthews, S. Jimenez, Benedict J. Leimkuhler, T. Van Delft, Michael Wilkinson
Transferability of Operational Status Classification Models Among Different Wind Turbine Typesq. CoRR (2019)
Benedict J. Leimkuhler, Charles Matthews, Jonathan Weare
Ensemble preconditioning for Markov chain Monte Carlo simulation. Stat. Comput. 28 (2) (2018)
Josh Fass, David A. Sivak, Gavin E. Crooks, Kyle Beauchamp, Benedict J. Leimkuhler, John D. Chodera
Quantifying Configuration-Sampling Error in Langevin Simulations of Complex Molecular Systems. Entropy 20 (5) (2018)
Matthias Sachs, Benedict J. Leimkuhler, Vincent Danos
Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods. Entropy 19 (12) (2017)
Benedict J. Leimkuhler, Xiaocheng Shang
Adaptive Thermostats for Noisy Gradient Systems. SIAM J. Sci. Comput. 38 (2) (2016)
Benedict J. Leimkuhler, Xiaocheng Shang
Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics. J. Comput. Phys. 324 (2016)
Benedict J. Leimkuhler, Xiaocheng Shang
On the numerical treatment of dissipative particle dynamics and related systems. J. Comput. Phys. 280 (2015)
Xiaocheng Shang, Zhanxing Zhu, Benedict J. Leimkuhler, Amos J. Storkey
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling. CoRR (2015)
Xiaocheng Shang, Zhanxing Zhu, Benedict J. Leimkuhler, Amos J. Storkey
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling. NIPS (2015)
Giacomo Mazzi, Benedict J. Leimkuhler
Dimensional Reductions for the Computation of Time-Dependent Quantum Expectations. SIAM J. Sci. Comput. 33 (4) (2011)
Stephen D. Bond, Benedict J. Leimkuhler
Stabilized Integration of Hamiltonian Systems with Hard-Sphere Inequality Constraints. SIAM J. Sci. Comput. 30 (1) (2007)
Benedict J. Leimkuhler, Christopher R. Sweet
A Hamiltonian Formulation for Recursive Multiple Thermostats in a Common Timescale. SIAM J. Appl. Dyn. Syst. 4 (1) (2005)
Zhidong Jia, Benedict J. Leimkuhler
A Projective Thermostatting Dynamics Technique. Multiscale Model. Simul. 4 (2) (2005)
Zhidong Jia, Benedict J. Leimkuhler
A parallel multiple time-scale reversible integrator for dynamics simulation. Future Gener. Comput. Syst. 19 (3) (2003)
Benedict J. Leimkuhler
An Improved Dynamical Formulation for Constant Temperature and Pressure Dynamics, with Application to Particle Fluid Models. International Conference on Computational Science (2) (2001)
Eric Barth, Benedict J. Leimkuhler, Sebastian Reich
A Time-Reversible Variable-Stepsize Integrator for Constrained Dynamics. SIAM J. Sci. Comput. 21 (3) (1999)
Stephen D. Bond, Benedict J. Leimkuhler
Time-transformations for reversible variable stepsize integration. Numer. Algorithms 19 (1-4) (1998)
Weizhang Huang, Benedict J. Leimkuhler
The Adaptive Verlet Method. SIAM J. Sci. Comput. 18 (1) (1997)
Eric Barth, Krzysztof Kuczera, Benedict J. Leimkuhler, Robert D. Skeel
Algorithms for Constrained Molecular Dynamics. J. Comput. Chem. 16 (10) (1995)