Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 34 61 0 14 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 35 256 0 09 Sep 2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 12 46 0 05 Sep 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 21 483 0 14 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 31 16 0 05 Aug 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 26 31 0 20 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 30 116 0 12 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 19 3,081 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 101 4,940 0 19 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 22 49 0 14 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 0 0 08 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 24 68 0 06 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 37 31 0 06 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 25 30 0 01 Jun 2018
Mining gold from implicit models to improve likelihood-free inference Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer AI4CE TPM 38 180 0 30 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Flexible and accurate inference and learning for deep generative models Eszter Vértes M. Sahani SyDa BDL 13 44 0 28 May 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 30 29 0 28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 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
Learning 3D Shape Completion under Weak Supervision David Stutz Andreas Geiger 3DPC SSL 35 106 0 18 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 24 284 0 17 May 2018
Variational Inference In Pachinko Allocation Machines Akash Srivastava Charles Sutton 18 6 0 21 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 25 433 0 03 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control Jiawei He Andreas M. Lehrmann Joseph Marino Greg Mori Leonid Sigal VGen DiffM DRL 22 77 0 21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 25 88 0 20 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 18 249 0 15 Mar 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 24 33 0 21 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov T. Garipov D. Podoprikhin Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov OOD CLL BDL 15 22 0 20 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 14 57 0 09 Feb 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 29 126 0 08 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
Improving Variational Encoder-Decoders in Dialogue Generation Xiaoyu Shen Hui Su Shuzi Niu Vera Demberg DRL 32 99 0 06 Feb 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 18 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 48 46 0 01 Dec 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 38 856 0 28 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 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 Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 55 4,840 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
Learnable Explicit Density for Continuous Latent Space and Variational Inference Chin-Wei Huang Ahmed Touati Laurent Dinh M. Drozdzal Mohammad Havaei Laurent Charlin Aaron Courville BDL DRL 33 28 0 06 Oct 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Min Zhang DRL 21 86 0 15 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 38 70 0 06 Sep 2017
Unsupervised Generative Modeling Using Matrix Product States Zhaoyu Han Jun Wang H. Fan Lei Wang Pan Zhang 22 268 0 06 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 46 57 0 04 Sep 2017
Bayesian Semisupervised Learning with Deep Generative Models Jonathan Gordon José Miguel Hernández-Lobato BDL UQCV GAN 32 27 0 29 Jun 2017
Kernel Implicit Variational Inference Jiaxin Shi Shengyang Sun Jun Zhu BDL 29 3 0 29 May 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