Partitioned integrators for thermodynamic parameterization of neural
networks

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Partitioned integrators for thermodynamic parameterization of neural networks

30 August 2019

Benedict Leimkuhler

Charles Matthews

Tiffany J. Vlaar

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Papers citing "Partitioned integrators for thermodynamic parameterization of neural networks"

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Title
Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation Yinsong Chen Samson S. Yu Zhong Li Chee Peng Lim BDL 78 0 0 01 Jul 2025
Structured Stochastic Gradient MCMC Antonios Alexos Alex Boyd Stephan Mandt BDL 76 13 0 19 Jul 2021
What can linear interpolation of neural network loss landscapes tell us? Tiffany J. Vlaar Jonathan Frankle MoMe 72 28 0 30 Jun 2021
Better Training using Weight-Constrained Stochastic Dynamics Benedict Leimkuhler Tiffany J. Vlaar Timothée Pouchon Amos Storkey 43 9 0 20 Jun 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci Kevin Roth Gregor Bachmann Sebastian Nowozin Thomas Hofmann CML 84 26 0 11 Jun 2021
Exact Langevin Dynamics with Stochastic Gradients Adrià Garriga-Alonso Vincent Fortuin BDL 72 33 0 02 Feb 2021
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 113 8 0 25 Apr 2020
Simulating sticky particles: A Monte Carlo method to sample a stratification Miranda C. Holmes-Cerfon 37 10 0 21 Dec 2019
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications Frederik Heber Zofia Trstanova Benedict Leimkuhler 26 1 0 20 Mar 2019