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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
Convergence of Langevin MCMC in KL-divergence Xiang Cheng Peter L. Bartlett 97 194 0 25 May 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 43 22 0 24 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models Aditya Grover Manik Dhar Stefano Ermon GAN 88 24 0 24 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 242 750 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 70 84 0 22 May 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 157 108 0 19 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 238 1,361 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 139 638 0 19 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 96 31 0 01 May 2017
Importance Sampled Stochastic Optimization for Variational Inference J. Sakaya Arto Klami BDL 48 7 0 19 Apr 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 150 28 0 18 Apr 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 74 6 0 18 Apr 2017
$k$ -means as a variational EM approximation of Gaussian mixture models Jörg Lücke D. Forster DRL VLM 64 49 0 16 Apr 2017
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris David Duvenaud BDL FAtt 135 94 0 10 Apr 2017
Learning Approximately Objective Priors Eric T. Nalisnick Padhraic Smyth 40 11 0 04 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 117 28 0 03 Apr 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 167 202 0 27 Mar 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 145 119 0 17 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 147 774 0 15 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 181 461 0 06 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 115 99 0 28 Feb 2017
Learning Hierarchical Features from Generative Models Shengjia Zhao Jiaming Song Stefano Ermon BDL GAN OOD DRL 89 74 0 27 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 96 62 0 27 Feb 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 175 135 0 27 Feb 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions Zichao Yang Zhiting Hu Ruslan Salakhutdinov Taylor Berg-Kirkpatrick 122 389 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 72 57 0 15 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 103 253 0 08 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 175 530 0 17 Jan 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 144 193 0 13 Jan 2017
Maximum Entropy Flow Networks Gabriel Loaiza-Ganem Yuanjun Gao John P. Cunningham 92 27 0 12 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 192 1,729 0 31 Dec 2016
Two Methods For Wild Variational Inference Qiang Liu Yihao Feng BDL 138 19 0 30 Nov 2016
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 126 175 0 29 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 92 124 0 20 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction Siddharth Agrawal Ambedkar Dukkipati DRL 3DV BDL 80 13 0 16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 95 340 0 15 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 217 676 0 08 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 151 119 0 06 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 503 3,227 0 30 Oct 2016
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 106 116 0 27 Oct 2016
Deep Variational Canonical Correlation Analysis Weiran Wang Xinchen Yan Honglak Lee Karen Livescu DRL BDL 86 146 0 11 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 121 460 0 30 Sep 2016
Variational Inference with Hamiltonian Monte Carlo Christopher Wolf Maximilian Karl Patrick van der Smagt BDL 66 36 0 26 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 219 260 0 07 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 136 1,095 0 16 Aug 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 162 1,828 0 15 Jun 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 279 3,730 0 26 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 65 375 0 20 May 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 132 163 0 20 May 2016
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 140 76 0 18 May 2016