Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,190 papers shown

Title
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 20 1,310 0 02 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 31 5 0 30 May 2016
Building an Evaluation Scale using Item Response Theory Yanjun Han Hao Wu Hong-ye Yu 13 2 0 28 May 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 19 155 0 26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 97 3,647 0 26 May 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 32 203 0 25 May 2016
Asymptotically exact inference in differentiable generative models Matthew M. Graham Amos J. Storkey BDL 21 33 0 25 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 23 10 0 22 May 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 32 158 0 20 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
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 30 76 0 18 May 2016
Structured Prediction of 3D Human Pose with Deep Neural Networks Bugra Tekin Isinsu Katircioglu Mathieu Salzmann Vincent Lepetit Pascal Fua 3DH 26 272 0 17 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 42 313 0 07 May 2016
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis Andreas C. Damianou Neil D. Lawrence Carl Henrik Ek 22 12 0 17 Apr 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 27 49 0 06 Apr 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification Ishan Misra C. L. Zitnick M. Hebert SSL 28 66 0 28 Mar 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 24 482 0 20 Mar 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks Daniel E. Ritchie Anna T. Thomas Pat Hanrahan Noah D. Goodman TPM 28 11 0 19 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks Xueliang Wang Abhinav Gupta GAN 31 617 0 17 Mar 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 30 254 0 16 Mar 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors Christos Louizos Max Welling BDL 33 253 0 15 Mar 2016
Variational Neural Discourse Relation Recognizer Biao Zhang Deyi Xiong Jinsong Su Qun Liu Rongrong Ji Hong Duan Min Zhang DRL BDL 19 19 0 12 Mar 2016
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators P. Upchurch Noah Snavely Kavita Bala GAN 24 44 0 07 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 29 126 0 07 Mar 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 19 142 0 06 Mar 2016
Variational methods for Conditional Multimodal Deep Learning Gaurav Pandey Ambedkar Dukkipati GAN DRL CVBM 35 15 0 06 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 22 47 0 03 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 38 709 0 02 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 99 1,924 0 25 Feb 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 24 42 0 24 Feb 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 13 81 0 23 Feb 2016
Understanding Visual Concepts with Continuation Learning William F. Whitney Michael Chang Tejas D. Kulkarni J. Tenenbaum DRL GAN 30 55 0 22 Feb 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 52 288 0 22 Feb 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 17 8 0 11 Feb 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 33 318 0 10 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 44 4,710 0 04 Jan 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 79 2,052 0 31 Dec 2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models Chunyuan Li Changyou Chen Kai Fan Lawrence Carin BDL 32 25 0 23 Dec 2015
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 20 301 0 14 Dec 2015
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 31 160 0 23 Nov 2015
Recurrent Gaussian Processes C. L. C. Mattos Zhenwen Dai Andreas C. Damianou Jeremy Forth G. Barreto Neil D. Lawrence BDL 32 75 0 20 Nov 2015
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 31 184 0 20 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 24 131 0 19 Nov 2015
Towards Principled Unsupervised Learning Ilya Sutskever Rafal Jozefowicz Karol Gregor Danilo Jimenez Rezende Timothy Lillicrap Oriol Vinyals OOD SSL 27 49 0 19 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics Jake C. Snell Karl Ridgeway Renjie Liao Brett D. Roads Michael C. Mozer R. Zemel EGVM 24 176 0 19 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
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 28 616 0 19 Nov 2015