Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems
with Deep Learning

Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning

4 December 2018

Frank Noé

Jonas Köhler

Papers citing "Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning"

3 / 3 papers shown

Title
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,927 0 07 Oct 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 258 78 0 26 May 2016
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 174 1,590 0 12 Sep 2011