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Author search results
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- Benedict J. Leimkuhler
aka: Ben Leimkuhler
University of Edinburgh, Scotland, UK
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Publication search results
found 46 matches
- 2024
- Peter A. Whalley, Daniel Paulin, Benedict J. Leimkuhler:
Randomized time Riemannian Manifold Hamiltonian Monte Carlo. Stat. Comput. 34(1): 48 (2024) - Alix Leroy, Benedict J. Leimkühler, Jonas Latz, Desmond J. Higham:
Adaptive stepsize algorithms for Langevin dynamics. CoRR abs/2403.11993 (2024) - 2023
- Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley:
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics. CoRR abs/2302.10684 (2023) - Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley:
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators. CoRR abs/2306.08592 (2023) - Dominic Phillips, Charles Matthews, Benedict J. Leimkuhler:
Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations. CoRR abs/2307.02913 (2023) - Neil K. Chada, Benedict J. Leimkuhler, Daniel Paulin, Peter A. Whalley:
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients. CoRR abs/2311.05025 (2023) - 2022
- Benedict J. Leimkuhler, Matthias Sachs:
Efficient Numerical Algorithms for the Generalized Langevin Equation. SIAM J. Sci. Comput. 44(1): 364- (2022) - Tiffany J. Vlaar, Benedict J. Leimkuhler:
Multirate Training of Neural Networks. ICML 2022: 22342-22360 - 2021
- Benedict J. Leimkuhler, Tiffany J. Vlaar, Timothée Pouchon, Amos J. Storkey:
Better Training using Weight-Constrained Stochastic Dynamics. ICML 2021: 6200-6211 - Benedict J. Leimkuhler, Tiffany Vlaar, Timothée Pouchon, Amos J. Storkey:
Better Training using Weight-Constrained Stochastic Dynamics. CoRR abs/2106.10704 (2021) - Tiffany Vlaar, Benedict J. Leimkuhler:
Multirate Training of Neural Networks. CoRR abs/2106.10771 (2021) - 2020
- Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz:
Hypocoercivity Properties of Adaptive Langevin Dynamics. SIAM J. Appl. Math. 80(3): 1197-1222 (2020) - Benedict J. Leimkuhler, Timothée Pouchon, Tiffany Vlaar, Amos J. Storkey:
Constraint-Based Regularization of Neural Networks. CoRR abs/2006.10114 (2020) - Benedict J. Leimkuhler, Akash Sharma, Michael V. Tretyakov:
Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions. CoRR abs/2006.15670 (2020) - Benedict J. Leimkuhler, Matthias Sachs:
Efficient Numerical Algorithms for the Generalized Langevin Equation. CoRR abs/2012.04245 (2020) - 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: 224-236 (2019) - Frederik Heber, Zofia Trstanova, Benedict J. Leimkuhler:
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications. CoRR abs/1903.08640 (2019) - Zofia Trstanova, Anton Martinsson, Charles Matthews, Sergio Jimenez, Benedict J. Leimkuhler, T. Van Delft, Michael Wilkinson:
Transferability of Operational Status Classification Models Among Different Wind Turbine Types. CoRR abs/1903.08901 (2019) - Benedict J. Leimkuhler, Matthias Sachs, Gabriel Stoltz:
Hypocoercivity properties of adaptive Langevin dynamics. CoRR abs/1908.09363 (2019) - Benedict J. Leimkuhler, Charles Matthews, Tiffany Vlaar:
Partitioned integrators for thermodynamic parameterization of neural networks. CoRR abs/1908.11843 (2019) - 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): 318 (2018) - Benedict J. Leimkuhler, Charles Matthews, Jonathan Weare:
Ensemble preconditioning for Markov chain Monte Carlo simulation. Stat. Comput. 28(2): 277-290 (2018) - 2017
- Matthias Sachs, Benedict J. Leimkuhler, Vincent Danos:
Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods. Entropy 19(12): 647 (2017) - 2016
- Benedict J. Leimkuhler, Xiaocheng Shang:
Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics. J. Comput. Phys. 324: 174-193 (2016) - Benedict J. Leimkuhler, Xiaocheng Shang:
Adaptive Thermostats for Noisy Gradient Systems. SIAM J. Sci. Comput. 38(2) (2016) - 2015
- Letif Mones, Andrew Jones, Andreas W. Götz, Teodoro Laino, Ross C. Walker, Ben Leimkuhler, Gábor Csányi, Noam Bernstein:
The adaptive buffered force QM/MM method in the CP2K and AMBER software packages. J. Comput. Chem. 36(9): 633-648 (2015) - Benedict J. Leimkuhler, Xiaocheng Shang:
On the numerical treatment of dissipative particle dynamics and related systems. J. Comput. Phys. 280: 72-95 (2015) - Xiaocheng Shang, Zhanxing Zhu, Benedict J. Leimkuhler, Amos J. Storkey:
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling. NIPS 2015: 37-45 - Xiaocheng Shang, Zhanxing Zhu, Benedict J. Leimkuhler, Amos J. Storkey:
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling. CoRR abs/1510.08692 (2015) - 2011
- Giacomo Mazzi, Benedict J. Leimkuhler:
Dimensional Reductions for the Computation of Time-Dependent Quantum Expectations. SIAM J. Sci. Comput. 33(4): 2024-2038 (2011)
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