Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 21 82 0 23 May 2018
Information Constraints on Auto-Encoding Variational Bayes Romain Lopez Jeffrey Regier Michael I. Jordan N. Yosef BDL 14 123 0 22 May 2018
Implicit Reparameterization Gradients Michael Figurnov S. Mohamed A. Mnih BDL 20 230 0 22 May 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 21 11 0 20 May 2018
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation Manuel Haussmann Fred Hamprecht M. Kandemir BDL 26 6 0 19 May 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors Arash Vahdat Evgeny Andriyash W. Macready 21 49 0 18 May 2018
GumBolt: Extending Gumbel trick to Boltzmann priors Amir Khoshaman Mohammad H. Amin 21 14 0 18 May 2018
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification Sergey Prokudin Peter V. Gehler Sebastian Nowozin UQCV OOD 25 88 0 09 May 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 30 38 0 05 Apr 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 26 32 0 05 Apr 2018
Training VAEs Under Structured Residuals Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson BDL DRL 24 12 0 03 Apr 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 18 379 0 03 Apr 2018
Dist-GAN: An Improved GAN using Distance Constraints Ngoc-Trung Tran Tuan-Anh Bui Ngai-man Cheung DRL GAN 23 91 0 23 Mar 2018
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering Xiaopeng Li Zhourong Chen Leonard K. M. Poon N. Zhang BDL DRL 9 50 0 14 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam M. Shazeer 22 230 0 09 Mar 2018
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 49 62 0 20 Feb 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 24 491 0 19 Feb 2018
Degeneration in VAE: in the Light of Fisher Information Loss Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang DRL 28 17 0 19 Feb 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 22 378 0 14 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 37 75 0 14 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 11 66 0 13 Feb 2018
Tighter Variational Bounds are Not Necessarily Better Tom Rainforth Adam R. Kosiorek T. Le Chris J. Maddison Maximilian Igl Frank Wood Yee Whye Teh DRL 23 197 0 13 Feb 2018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions Francisco J. R. Ruiz Michalis K. Titsias Adji Bousso Dieng David M. Blei BDL 19 22 0 12 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data B. Ayinde J. Zurada 28 55 0 31 Jan 2018
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL 40 8 0 26 Jan 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 33 280 0 10 Jan 2018
Deep generative models of genetic variation capture mutation effects Adam J. Riesselman John Ingraham D. Marks DRL BDL 21 23 0 18 Dec 2017
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 51 46 0 01 Dec 2017
Auxiliary Guided Autoregressive Variational Autoencoders Thomas Lucas Jakob Verbeek GAN DRL 30 20 0 30 Nov 2017
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 19 130 0 25 Nov 2017
Asymmetric Variational Autoencoders Guoqing Zheng Yiming Yang J. Carbonell BDL 24 2 0 20 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 27 182 0 15 Nov 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 42 78 0 14 Nov 2017
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov Stefano Ermon BDL 29 34 0 07 Nov 2017
Convolutional Normalizing Flows Guoqing Zheng Yiming Yang J. Carbonell BDL 28 11 0 07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders Artur Speiser Jinyao Yan Evan Archer Lars Buesing Srinivas C. Turaga Jakob H. Macke BDL 38 47 0 06 Nov 2017
Metrics for Deep Generative Models Nutan Chen Alexej Klushyn Richard Kurle Xueyan Jiang Justin Bayer Patrick van der Smagt SyDa DRL 22 116 0 03 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 67 4,848 0 02 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 38 260 0 31 Oct 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 36 728 0 29 Oct 2017
On the challenges of learning with inference networks on sparse, high-dimensional data Rahul G. Krishnan Dawen Liang Matthew Hoffman CML BDL 32 85 0 17 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 29 197 0 14 Oct 2017
Unsupervised Real-Time Control through Variational Empowerment Maximilian Karl Maximilian Soelch Philip Becker-Ehmck Djalel Benbouzid Patrick van der Smagt Justin Bayer 25 55 0 13 Oct 2017
Perturbative Black Box Variational Inference Robert Bamler Cheng Zhang Manfred Opper Stephan Mandt BDL 23 40 0 21 Sep 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 28 63 0 21 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 21 131 0 18 Sep 2017