Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018

Diederik P. Kingma

Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

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Title
A Linear Systems Theory of Normalizing Flows Reuben Feinman Nikhil Parthasarathy 19 1 0 15 Jul 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 37 18 0 10 Jul 2019
Out-of-Distribution Detection Using Neural Rendering Generative Models Yujia Huang Sihui Dai T. Nguyen Richard G. Baraniuk Anima Anandkumar OODD 17 14 0 10 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 69 542 0 04 Jul 2019
Guided Image Generation with Conditional Invertible Neural Networks Lynton Ardizzone Carsten T. Lüth Jakob Kruse Carsten Rother Ullrich Kothe DRL 11 295 0 04 Jul 2019
Semi-supervised Image Attribute Editing using Generative Adversarial Networks Y. Dogan H. Keles GAN 10 21 0 03 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming Liu Serge J. Belongie Bharath Hariharan 3DPC 40 658 0 28 Jun 2019
Curriculum Learning for Deep Generative Models with Clustering Deli Zhao Jiapeng Zhu Zhenfang Guo Bo Zhang GNN 25 1 0 27 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 25 28 0 25 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Recent Advances of Image Steganography with Generative Adversarial Networks Jia-Wei Liu Yan Ke Yu-Zhou Lei Zhuo Zhang Jun Li Peng Luo Minqing Zhang Xiaoyuan Yang GAN 40 69 0 18 Jun 2019
Parametric Resynthesis with neural vocoders Soumi Maiti Michael I. Mandel 17 19 0 16 Jun 2019
A Closer Look at Double Backpropagation Christian Etmann ODL 12 11 0 16 Jun 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training William Harvey Michael Teng Frank Wood 31 4 0 13 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 22 39 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 16 0 0 10 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 41 745 0 10 Jun 2019
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Balaji Lakshminarayanan OODD 14 86 0 07 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 50 716 0 07 Jun 2019
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies Patrick Nadeem Ward Ariella Smofsky A. Bose 6 58 0 06 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 8 375 0 06 Jun 2019
Image Synthesis with a Single (Robust) Classifier Shibani Santurkar Dimitris Tsipras Brandon Tran Andrew Ilyas Logan Engstrom A. Madry AAML 14 34 0 06 Jun 2019
Style Generator Inversion for Image Enhancement and Animation Aviv Gabbay Yedid Hoshen 16 17 0 05 Jun 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 53 57 0 05 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 80 1,267 0 04 Jun 2019
MelNet: A Generative Model for Audio in the Frequency Domain Sean Vasquez M. Lewis DiffM 27 131 0 04 Jun 2019
Understanding the Limitations of Conditional Generative Models Ethan Fetaya J. Jacobsen Will Grathwohl R. Zemel 13 53 0 04 Jun 2019
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion Joan Serrà Santiago Pascual Carlos Segura CVBM 23 84 0 03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 39 1,774 0 02 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 32 14 0 31 May 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 21 72 0 30 May 2019
One-element Batch Training by Moving Window Przemysław Spurek Szymon Knop Jacek Tabor Igor T. Podolak B. Wójcik VLM 24 0 0 30 May 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows Aditya Grover Christopher Chute Rui Shu Zhangjie Cao Stefano Ermon OOD DRL 13 65 0 30 May 2019
Domain Generalization via Universal Non-volume Preserving Models Thanh-Dat Truong C. Duong Khoa Luu Minh-Triet Tran Ngan Le OOD 11 0 0 28 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 26 146 0 28 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 22 188 0 28 May 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 27 8 0 27 May 2019
Kernel Conditional Density Operators Ingmar Schuster Mattes Mollenhauer Stefan Klus Krikamol Muandet 30 25 0 27 May 2019
Classification Accuracy Score for Conditional Generative Models Suman V. Ravuri Oriol Vinyals EGVM 27 230 0 26 May 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 13 45 0 25 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 17 15 0 24 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution Thanh-Dat Truong Khoa Luu C. Duong Ngan Le M. Tran 19 7 0 24 May 2019
Compression with Flows via Local Bits-Back Coding Jonathan Ho Evan Lohn Pieter Abbeel 32 53 0 21 May 2019
Non-Autoregressive Neural Text-to-Speech Kainan Peng Ming-Yu Liu Z. Song Kexin Zhao 29 39 0 21 May 2019
Automatic Posterior Transformation for Likelihood-Free Inference David S. Greenberg M. Nonnenmacher Jakob H. Macke 6 317 0 17 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 30 158 0 17 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables F. Kingma Pieter Abbeel Jonathan Ho 14 97 0 16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 39 97 0 16 May 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 35 13 0 14 May 2019