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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Scalable Population Synthesis with Deep Generative Modeling S. Borysov Jeppe Rich Francisco Câmara Pereira 41 58 0 21 Aug 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 132 494 0 14 Aug 2018
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 100 365 0 11 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 138 57 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 104 16 0 05 Aug 2018
Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling Keisuke Fujii Chihiro Suzuki M. Hasuo 11 3 0 03 Aug 2018
Likelihood-free inference with an improved cross-entropy estimator M. Stoye Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer FedML UQCV BDL 163 48 0 02 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 90 31 0 20 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech Ming-Yu Liu Kainan Peng Jitong Chen 102 347 0 19 Jul 2018
Parametric generation of conditional geological realizations using generative neural networks Shing Chan A. Elsheikh OOD GAN AI4CE 145 101 0 13 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 67 175 0 12 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 107 115 0 12 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs A. Nazábal Pablo Martínez Olmos Zoubin Ghahramani Isabel Valera 65 352 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 356 3,153 0 09 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds Septimia Sârbu Riccardo Volpi Alexandra Peste Luigi Malagò DRL 29 0 0 05 Jul 2018
Understanding and Accelerating Particle-Based Variational Inference Chang-rui Liu Jingwei Zhuo Pengyu Cheng Ruiyi Zhang Jun Zhu Lawrence Carin 86 14 0 04 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 524 5,184 0 19 Jun 2018
Continuous-variable quantum neural networks N. Killoran T. Bromley J. M. Arrazola Maria Schuld N. Quesada S. Lloyd GNN 69 360 0 18 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 70 49 0 14 Jun 2018
Implicit Policy for Reinforcement Learning Yunhao Tang Shipra Agrawal 60 14 0 10 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 143 117 0 08 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 121 70 0 06 Jun 2018
Randomized Value Functions via Multiplicative Normalizing Flows Ahmed Touati Harsh Satija Joshua Romoff Joelle Pineau Pascal Vincent 67 36 0 06 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 81 32 0 06 Jun 2018
Pathwise Derivatives for Multivariate Distributions M. Jankowiak Theofanis Karaletsos 121 11 0 05 Jun 2018
Diffeomorphic Learning L. Younes FedML 43 14 0 04 Jun 2018
Reparameterization Gradient for Non-differentiable Models Wonyeol Lee Hangyeol Yu Hongseok Yang DRL 125 32 0 01 Jun 2018
Mining gold from implicit models to improve likelihood-free inference Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer AI4CE TPM 188 181 0 30 May 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 82 95 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 89 128 0 28 May 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 74 29 0 28 May 2018
Ergodic Inference: Accelerate Convergence by Optimisation Yichuan Zhang José Miguel Hernández-Lobato BDL 77 9 0 25 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 81 10 0 23 May 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 72 11 0 20 May 2018
Learning 3D Shape Completion under Weak Supervision David Stutz Andreas Geiger 3DPC SSL 101 106 0 18 May 2018
The Blessings of Multiple Causes Yixin Wang David M. Blei AI4CE CML 70 291 0 17 May 2018
Variational Inference In Pachinko Allocation Machines Akash Srivastava Charles Sutton 73 6 0 21 Apr 2018
A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis Xin Wang Jaime Lorenzo-Trueba Shinji Takaki Lauri Juvela Junichi Yamagishi 70 67 0 07 Apr 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 126 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 33 12 0 03 Apr 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 150 384 0 03 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 161 447 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 73 77 0 21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 108 90 0 20 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 124 253 0 15 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 86 95 0 02 Mar 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data I. Korshunova Jonas Degrave Ferenc Huszár Y. Gal Arthur Gretton J. Dambre BDL 66 34 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 62 22 0 20 Feb 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 142 98 0 19 Feb 2018
Conditional Density Estimation with Bayesian Normalising Flows Brian L. Trippe Richard Turner BDL 94 84 0 14 Feb 2018