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Neural ODEs with stochastic vector field mixtures

Neural ODEs with stochastic vector field mixtures

23 May 2019
Niall Twomey
Michał Kozłowski
Raúl Santos-Rodríguez
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Papers citing "Neural ODEs with stochastic vector field mixtures"

10 / 10 papers shown
Title
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
75
622
0
02 Apr 2019
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
218
5,024
0
19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
59
488
0
12 Apr 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and
  Numerical Differential Equations
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu
Aoxiao Zhong
Quanzheng Li
Bin Dong
132
495
0
27 Oct 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
212
5,323
0
03 Nov 2016
The Generalized Reparameterization Gradient
The Generalized Reparameterization Gradient
Francisco J. R. Ruiz
Michalis K. Titsias
David M. Blei
BDL
37
170
0
07 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
156
2,533
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
678
149,474
0
22 Dec 2014
An Introduction to Conditional Random Fields
An Introduction to Conditional Random Fields
Charles Sutton
Andrew McCallum
AI4CE
BDL
CML
TPM
85
1,208
0
17 Nov 2010
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