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Deep Generative Markov State Models

Deep Generative Markov State Models

19 May 2018
Hao Wu
Andreas Mardt
Luca Pasquali
Frank Noe
    AI4CE
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Papers citing "Deep Generative Markov State Models"

12 / 12 papers shown
Title
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
144
49
0
27 Feb 2020
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
54
1,237
0
27 Dec 2017
Linearly-Recurrent Autoencoder Networks for Learning Dynamics
Linearly-Recurrent Autoencoder Networks for Learning Dynamics
Samuel E. Otto
C. Rowley
AI4CE
29
322
0
04 Dec 2017
Variational Encoding of Complex Dynamics
Variational Encoding of Complex Dynamics
Carlos X. Hernández
H. Wayment-Steele
Mohammad M. Sultan
B. Husic
Vijay S. Pande
AI4CE
49
138
0
23 Nov 2017
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
145
358
0
30 Oct 2017
VAMPnets: Deep learning of molecular kinetics
VAMPnets: Deep learning of molecular kinetics
Andreas Mardt
Luca Pasquali
Hao Wu
Frank Noé
57
542
0
16 Oct 2017
Variational approach for learning Markov processes from time series data
Variational approach for learning Markov processes from time series data
Hao Wu
Frank Noé
BDL
AI4TS
17
261
0
14 Jul 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
198
5,502
0
23 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
286
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
738
149,474
0
22 Dec 2014
A variational approach to modeling slow processes in stochastic
  dynamical systems
A variational approach to modeling slow processes in stochastic dynamical systems
Frank Noé
Feliks Nuske
56
292
0
29 Nov 2012
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