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
Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari Ming Liang Ang Harold Soh 16 48 0 01 Dec 2020
General Invertible Transformations for Flow-based Generative Modeling Jakub M. Tomczak DRL AI4CE 14 3 0 30 Nov 2020
Prior Flow Variational Autoencoder: A density estimation model for Non-Intrusive Load Monitoring Luis Felipe M.O. Henriques Eduardo Morgan S. Colcher Ruy Luiz Milidiú 16 0 0 30 Nov 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction Maciej Ziȩba Marcin Przewiȩźlikowski Marek Śmieja Jacek Tabor Tomasz Trzciñski Przemysław Spurek AI4TS AI4CE 32 11 0 30 Nov 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 36 156 0 27 Nov 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 111 6,126 0 26 Nov 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 30 14 0 26 Nov 2020
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge Bichen Wu Qing He Peizhao Zhang T. Koehler Kurt Keutzer Peter Vajda 31 6 0 25 Nov 2020
Variational Monocular Depth Estimation for Reliability Prediction Noriaki Hirose S. Taguchi Keisuke Kawano Satoshi Koide MDE 34 4 0 24 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 56 339 0 20 Nov 2020
Diverse Plausible Shape Completions from Ambiguous Depth Images Brad Saund Dmitry Berenson 3DPC 3DV 24 3 0 18 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 30 43 0 15 Nov 2020
Self Normalizing Flows Thomas Anderson Keller Jorn W. T. Peters P. Jaini Emiel Hoogeboom Patrick Forré Max Welling 30 14 0 14 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned Distributions F. Laine Claire Tomlin 15 0 0 11 Nov 2020
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging Jan-Hinrich Nolke T. Adler J. Gröhl Thomas Kirchner Lynton Ardizzone Carsten Rother Ullrich Kothe Lena Maier-Hein UQCV 9 6 0 10 Nov 2020
Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy Guoqing Bao M. Graeber Xiuying Wang 13 5 0 07 Nov 2020
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis Ron J. Weiss RJ Skerry-Ryan Eric Battenberg Soroosh Mariooryad Diederik P. Kingma 24 98 0 06 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 14 199 0 04 Nov 2020
Causal Autoregressive Flows Ilyes Khemakhem R. Monti R. Leech Aapo Hyvarinen CML OOD AI4CE 27 108 0 04 Nov 2020
Can We Trust Deep Speech Prior? Ying Shi Haolin Chen Zhiyuan Tang Lantian Li Dong Wang Jiqing Han 32 1 0 04 Nov 2020
Problems using deep generative models for probabilistic audio source separation M. Frank Maximilian Ilse DiffM 23 4 0 03 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020
Synthetic Data Generation for Economists Allison Koenecke H. Varian 8 8 0 02 Nov 2020
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation K. Shubham Gopalakrishnan Venkatesh Reijul Sachdev Akshi D. Jayagopi G. Srinivasaraghavan GAN 10 6 0 02 Nov 2020
On the Sentence Embeddings from Pre-trained Language Models Bohan Li Hao Zhou Junxian He Mingxuan Wang Yiming Yang Lei Li 30 213 0 02 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 35 5 0 28 Oct 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 25 74 0 27 Oct 2020
Deep generative factorization for speech signal Haoran Sun Lantian Li Yunqi Cai Yang Zhang Tianshi Zheng Dong Wang 11 0 0 27 Oct 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 32 41 0 26 Oct 2020
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird F. Kingma David Barber SyDa MQ AI4CE 26 9 0 26 Oct 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 27 30 0 25 Oct 2020
ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows Julen Urain M. Ginesi Davide Tateo Jan Peters AI4CE 32 57 0 25 Oct 2020
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 188 12 0 24 Oct 2020
Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis Nicolò Fusi 31 18 0 24 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 83 3 0 22 Oct 2020
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model Saeed Ghorbani C. Wloka Ali Etemad M. Brubaker N. Troje 3DV 46 31 0 20 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 44 12 0 19 Oct 2020
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends Shagun Uppal Sarthak Bhagat Devamanyu Hazarika Navonil Majumdar Soujanya Poria Roger Zimmermann Amir Zadeh 28 6 0 19 Oct 2020
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling Bo Pang Erik Nijkamp Jiali Cui Tian Han Ying Nian Wu SSL 37 4 0 19 Oct 2020
Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang Yibo Yang Joseph Marino Stephan Mandt BDL VGen 112 46 0 19 Oct 2020
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features Myeongah Cho Taeoh Kim Woojin Kim Suhwan Cho Sangyoun Lee 22 90 0 15 Oct 2020
Training Invertible Linear Layers through Rank-One Perturbations Andreas Krämer Jonas Köhler Frank Noé 20 0 0 14 Oct 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong Jaehyeon Kim Jaekyoung Bae 81 1,869 0 12 Oct 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 16 70 0 08 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 119 1,306 0 08 Oct 2020
Representing Point Clouds with Generative Conditional Invertible Flow Networks Michal Stypulkowski Kacper Kania M. Zamorski Maciej Ziȩba Tomasz Trzciñski J. Chorowski 3DPC 34 4 0 07 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 28 0 0 07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
OneFlow: One-class flow for anomaly detection based on a minimal volume region Łukasz Maziarka Marek Śmieja Marcin Sendera Łukasz Struski Jacek Tabor Przemysław Spurek 29 6 0 06 Oct 2020