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Learning Stochastic Recurrent Networks

Learning Stochastic Recurrent Networks

27 November 2014
Justin Bayer
Christian Osendorfer
    BDL
ArXivPDFHTML

Papers citing "Learning Stochastic Recurrent Networks"

15 / 15 papers shown
Title
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
OOD
160
2
0
16 Oct 2023
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
99
389
0
27 Feb 2017
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
90
457
0
30 Sep 2016
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,568
0
10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,354
0
03 Jun 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative
  Models
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Daan Wierstra
BDL
82
139
0
16 Jan 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
How to Construct Deep Recurrent Neural Networks
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
116
1,009
0
20 Dec 2013
On Fast Dropout and its Applicability to Recurrent Networks
On Fast Dropout and its Applicability to Recurrent Networks
Justin Bayer
Christian Osendorfer
Daniela Korhammer
Nutan Chen
Sebastian Urban
Patrick van der Smagt
ODL
86
64
0
04 Nov 2013
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
155
4,034
0
04 Aug 2013
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
226
8,517
0
22 Mar 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
155
6,625
0
22 Dec 2012
High-dimensional sequence transduction
High-dimensional sequence transduction
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
AI4TS
184
69
0
09 Dec 2012
Advances in Optimizing Recurrent Networks
Advances in Optimizing Recurrent Networks
Yoshua Bengio
Nicolas Boulanger-Lewandowski
Razvan Pascanu
ODL
102
523
0
04 Dec 2012
Modeling Temporal Dependencies in High-Dimensional Sequences:
  Application to Polyphonic Music Generation and Transcription
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
176
703
0
27 Jun 2012
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