Learning Stochastic Recurrent Networks

27 November 2014

Papers citing "Learning Stochastic Recurrent Networks"

10 / 60 papers shown

Title
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 21 10 0 22 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues Iulian Serban Alessandro Sordoni Ryan J. Lowe Laurent Charlin Joelle Pineau Aaron Courville Yoshua Bengio BDL 51 1,104 0 19 May 2016
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series Maximilian Sölch Justin Bayer Marvin Ludersdorfer Patrick van der Smagt AI4TS BDL 11 81 0 23 Feb 2016
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 23 160 0 23 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 34 2,341 0 19 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 19 370 0 16 Nov 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling Zhe Gan Chunyuan Li Ricardo Henao David Carlson Lawrence Carin BDL 16 85 0 23 Sep 2015
Neural Adaptive Sequential Monte Carlo S. Gu Zoubin Ghahramani Richard Turner BDL 16 145 0 10 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 27 1,242 0 07 Jun 2015
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series Mathias Berglund T. Raiko Mikko Honkala L. Kärkkäinen A. Vetek J. Karhunen BDL 40 125 0 07 Apr 2015