Variational embedding of protein folding simulations using gaussian mixture variational autoencoders

27 August 2021

Papers citing "Variational embedding of protein folding simulations using gaussian mixture variational autoencoders"

9 / 9 papers shown

Title
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders Yasemin Bozkurt Varolgunes T. Bereau J. F. Rudzinski DRL 47 43 0 22 Dec 2019
High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnets Hythem Sidky Wei Chen Andrew L. Ferguson 25 54 0 12 Jun 2019
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems Wei Chen Hythem Sidky Andrew L. Ferguson 53 36 0 02 Jun 2019
Predictive Collective Variable Discovery with Deep Bayesian Models M. Schöberl N. Zabaras P. Koutsourelakis 43 34 0 18 Sep 2018
Molecular enhanced sampling with autoencoders: On-the-fly collective variable discovery and accelerated free energy landscape exploration Wei Chen Andrew L. Ferguson 41 197 0 30 Dec 2017
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics C. Wehmeyer Frank Noé AI4CE BDL 148 358 0 30 Oct 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 57 651 0 08 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 397 16,962 0 20 Dec 2013