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
LocoGAN -- Locally Convolutional GAN Lukasz Struski Szymon Knop Jacek Tabor Wiktor Daniec Przemysław Spurek GAN 6 10 0 18 Feb 2020
Learning Bijective Feature Maps for Linear ICA A. Camuto M. Willetts Brooks Paige Chris Holmes Stephen J. Roberts 20 3 0 18 Feb 2020
Deep Gaussian Markov Random Fields Per Sidén Fredrik Lindsten BDL 28 22 0 18 Feb 2020
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction Kourosh Hakhamaneshi Keertana Settaluri Pieter Abbeel Vladimir M. Stojanović 13 1 0 17 Feb 2020
On the Discrepancy between Density Estimation and Sequence Generation Jason D. Lee Dustin Tran Orhan Firat Kyunghyun Cho 8 11 0 17 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Stochastic Normalizing Flows Hao Wu Jonas Köhler Frank Noé 59 176 0 16 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 21 36 0 16 Feb 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud R. Zemel 21 14 0 13 Feb 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima Issei Sato Masashi Sugiyama OOD CML TTA 33 86 0 10 Feb 2020
Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models Yufeng Zhang Jia Pan Wanwei Liu Zhenbang Chen Juan Wang Zhiming Liu KenLi Li H. Wei OODD DRL 42 2 0 09 Feb 2020
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention Xiaoya Li Yuxian Meng Arianna Yuan Fei Wu Jiwei Li 40 12 0 08 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 33 7 0 07 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay J. Jacobsen L. Nurbekyan Adam M. Oberman 11 296 0 07 Feb 2020
Multimodal Controller for Generative Models Enmao Diao Jie Ding Vahid Tarokh 47 3 0 07 Feb 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow Didrik Nielsen Ole Winther MQ 201 13 0 06 Feb 2020
Automatic structured variational inference L. Ambrogioni Kate Lin Emily Fertig Sharad Vikram Max Hinne Dave Moore Marcel van Gerven BDL 32 29 0 03 Feb 2020
Learning Discrete Distributions by Dequantization Emiel Hoogeboom Taco S. Cohen Jakub M. Tomczak DRL 34 31 0 30 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 68 427 0 26 Jan 2020
Kernel of CycleGAN as a Principle homogeneous space N. Moriakov J. Adler Jonas Teuwen GAN 11 11 0 24 Jan 2020
Safe Robot Navigation via Multi-Modal Anomaly Detection Lorenz Wellhausen René Ranftl Marco Hutter 31 77 0 22 Jan 2020
A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting Hisaichi Shibata S. Hanaoka Y. Nomura Takahiro Nakao Issei Sato D. Sato Naoto Hayashi O. Abe MedIm 14 2 0 22 Jan 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification Lynton Ardizzone Radek Mackowiak Ullrich Kothe Carsten Rother UQCV 18 4 0 17 Jan 2020
i-flow: High-dimensional Integration and Sampling with Normalizing Flows Christina Gao J. Isaacson Claudius Krause AI4CE 24 107 0 15 Jan 2020
Deep Residual Flow for Out of Distribution Detection E. Zisselman Aviv Tamar UQCV 14 5 0 15 Jan 2020
Invertible Generative Modeling using Linear Rational Splines H. M. Dolatabadi S. Erfani C. Leckie 40 65 0 15 Jan 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 18 119 0 14 Jan 2020
Unsupervised Distribution Learning for Lunar Surface Anomaly Detection Adam Lesnikowski V. Bickel Daniel Angerhausen 6 10 0 14 Jan 2020
WICA: nonlinear weighted ICA Andrzej Bedychaj Przemysław Spurek A. Nowak Jacek Tabor CML 31 1 0 13 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 33 8 0 13 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution Dongsheng An Yang Guo Min Zhang Xin Qi Na Lei S. Yau X. Gu DRL GAN 32 24 0 11 Jan 2020
Unsupervised multi-modal Styled Content Generation O. Sendik Dani Lischinski Daniel Cohen-Or GAN 8 4 0 10 Jan 2020
Learning Generative Models using Denoising Density Estimators Siavash Bigdeli Geng Lin Tiziano Portenier L. A. Dunbar Matthias Zwicker DiffM 29 16 0 08 Jan 2020
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Ruben Tolosana R. Vera-Rodríguez Julian Fierrez Aythami Morales J. Ortega-Garcia 3DPC CVBM 51 775 0 01 Jan 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 40 111 0 30 Dec 2019
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection Pierrick Chatillon C. Ballester AAML 21 6 0 26 Dec 2019
Neural ODEs for Image Segmentation with Level Sets Rafael Valle F. Reda Mohammad Shoeybi P. LeGresley Andrew Tao Bryan Catanzaro 25 8 0 25 Dec 2019
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models Jian Zhu 23 8 0 23 Dec 2019
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 36 5 0 21 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 36 41 0 20 Dec 2019
Temporal Normalizing Flows G. Both R. Kusters AI4TS 28 10 0 19 Dec 2019
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting Geunseob Oh Jean-Sebastien Valois BDL 16 12 0 17 Dec 2019
Image Processing Using Multi-Code GAN Prior Jinjin Gu Yujun Shen Bolei Zhou GAN 30 315 0 15 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 31 80 0 15 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 18 63 0 11 Dec 2019
Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology Gözde Gül Sahin Iryna Gurevych 21 6 0 11 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 29 56 0 11 Dec 2019
Multimodal Generative Models for Compositional Representation Learning Mike Wu Noah D. Goodman GAN DRL 43 17 0 11 Dec 2019
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning Xinsheng Xuan Bo Peng Wei Wang Jing Dong 22 6 0 10 Dec 2019
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 28 9 0 09 Dec 2019