Sequential Neural Models with Stochastic Layers

24 May 2016

Papers citing "Sequential Neural Models with Stochastic Layers"

23 / 223 papers shown

Title
PixelSNAIL: An Improved Autoregressive Generative Model Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 25 270 0 28 Dec 2017
A Neural Stochastic Volatility Model Rui Luo Weinan Zhang Xiaojun Xu Jun Wang BDL 14 60 0 30 Nov 2017
State Space LSTM Models with Particle MCMC Inference Xun Zheng Manzil Zaheer Amr Ahmed Yansen Wang Eric P. Xing Alex Smola BDL 14 46 0 30 Nov 2017
A Classifying Variational Autoencoder with Application to Polyphonic Music Generation Jay A. Hennig Akash Umakantha R. Williamson MGen BDL 18 17 0 19 Nov 2017
Variational Bi-LSTMs Samira Shabanian Devansh Arpit Adam Trischler Yoshua Bengio DRL 30 24 0 15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 21 182 0 15 Nov 2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model Zhilin Yang Zihang Dai Ruslan Salakhutdinov William W. Cohen BDL 18 365 0 10 Nov 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 26 280 0 16 Oct 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 29 350 0 22 Sep 2017
From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning Jingkuan Song Yuyu Guo Lianli Gao Xuelong Li Alan Hanjalic Heng Tao Shen 32 219 0 08 Aug 2017
Human Pose Forecasting via Deep Markov Models Sam Toyer A. Cherian Tengda Han Stephen Gould 22 48 0 24 Jul 2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures Gaëtan Hadjeres Frank Nielsen F. Pachet DRL 16 64 0 14 Jul 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Learning Hard Alignments with Variational Inference Dieterich Lawson Chung-Cheng Chiu George Tucker Colin Raffel Kevin Swersky Navdeep Jaitly DRL 15 29 0 16 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 20 28 0 03 Apr 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 24 383 0 27 Feb 2017
Generative Temporal Models with Memory Mevlana Gemici Chia-Chun Hung Adam Santoro Greg Wayne S. Mohamed Danilo Jimenez Rezende David Amos Timothy Lillicrap 11 57 0 15 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 23 251 0 08 Feb 2017
Piecewise Latent Variables for Neural Variational Text Processing Iulian Serban Alexander Ororbia Joelle Pineau Aaron Courville DRL BDL 19 2 0 01 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 44 671 0 08 Nov 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 14 452 0 30 Sep 2016