Leimkuhler, Benedict

4 publications

ICML 2022 Multirate Training of Neural Networks Tiffany J Vlaar, Benedict Leimkuhler

ICML 2021 Better Training Using Weight-Constrained Stochastic Dynamics Benedict Leimkuhler, Tiffany J Vlaar, Timothée Pouchon, Amos Storkey

JMLR 2020 Posterior Sampling Strategies Based on Discretized Stochastic Differential Equations for Machine Learning Applications Frederik Heber, Žofia Trst’anová, Benedict Leimkuhler

NeurIPS 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler, Amos J. Storkey