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
Multi-Facet Clustering Variational Autoencoders Fabian Falck Haoting Zhang M. Willetts G. Nicholson C. Yau Chris Holmes DRL 28 41 0 09 Jun 2021
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models Qi Ma S. Ghosh 27 5 0 09 Jun 2021
Marginalizable Density Models D. Gilboa Ari Pakman Thibault Vatter BDL 32 5 0 08 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 19 59 0 08 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 30 304 0 08 Jun 2021
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design AkshatKumar Nigam R. Pollice Alán Aspuru-Guzik 37 51 0 07 Jun 2021
Generative Flows with Invertible Attentions R. Sukthanker Zhiwu Huang Suryansh Kumar Radu Timofte Luc Van Gool 29 14 0 07 Jun 2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen Huan Wang Lav Varshney Caiming Xiong R. Socher 21 9 0 07 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 18 34 0 06 Jun 2021
Noise Conditional Flow Model for Learning the Super-Resolution Space Younggeun Kim Donghee Son SupR 22 23 0 06 Jun 2021
Neural Distributed Source Coding Jay Whang Alliot Nagle Anish Acharya Hyeji Kim A. Dimakis 43 20 0 05 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 22 4 0 04 Jun 2021
CAFLOW: Conditional Autoregressive Flows Georgios Batzolis M. Carioni Christian Etmann S. Afyouni Zoe Kourtzi Carola Bibiane Schönlieb 22 2 0 04 Jun 2021
Semi-supervised Learning with Missing Values Imputation Buliao Huang Yunhui Zhu Muhammad Usman Huanhuan Chen 29 11 0 03 Jun 2021
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 24 43 0 02 Jun 2021
NVC-Net: End-to-End Adversarial Voice Conversion Bac Nguyen Cong Fabien Cardinaux AAML 42 41 0 02 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 33 2 0 01 Jun 2021
Hybrid Generative Models for Two-Dimensional Datasets Hoda Shajari Jaemoon Lee Sanjay Ranka Anand Rangarajan MedIm 27 0 0 01 Jun 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 36 193 0 31 May 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 32 17 0 31 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 16 1 0 30 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 90 1,183 0 30 May 2021
Learning Graphon Autoencoders for Generative Graph Modeling Hongteng Xu P. Zhao Junzhou Huang Dixin Luo GNN 46 5 0 29 May 2021
BPLF: A Bi-Parallel Linear Flow Model for Facial Expression Generation from Emotion Set Images Gao Xu Yuanpeng Long Siwei Liu Lijia Yang Shimei Xu Xiaoming Yao Kunxian Shu CVBM 23 0 0 27 May 2021
Augmented KRnet for density estimation and approximation Xiaoliang Wan Keju Tang 17 5 0 26 May 2021
Density estimation on low-dimensional manifolds: an inflation-deflation approach Christian Horvat J. Pfister 30 14 0 25 May 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu AI4TS 16 68 0 25 May 2021
Latent Space Arc Therapy Optimization N. Bice M. Fakhreddine Ruiqi Li D. Nguyen C. Kabat P. Myers Nickolas Papanikolaou N. Kirby AI4CE 9 0 0 24 May 2021
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models Yusuke Ohtsubo Tetsu Matsukawa Einoshin Suzuki BDL DRL 25 0 0 22 May 2021
Variational Gaussian Topic Model with Invertible Neural Projections Rui Wang Deyu Zhou Yuxuan Xiong Haiping Huang BDL 27 3 0 21 May 2021
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics Hiromu Yakura Yuki Koyama Masataka Goto 16 6 0 19 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 39 172 0 19 May 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement Mehmet Akccakaya Burhaneddin Yaman Hyungjin Chung Jong Chul Ye MedIm 41 55 0 17 May 2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows Zhizhong Huang Shouzhen Chen Junping Zhang Hongming Shan 15 8 0 15 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech Vadim Popov Ivan Vovk Vladimir Gogoryan Tasnima Sadekova Mikhail Kudinov DiffM 61 515 0 13 May 2021
PassFlow: Guessing Passwords with Generative Flows Giulio Pagnotta Dorjan Hitaj Fabio De Gaspari L. Mancini 26 13 0 13 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference Shumao Zhang Pengchuan Zhang T. Hou BDL 17 4 0 12 May 2021
Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network Yang Liu Saeed Anwar Zhenyue Qin Pan Ji Sabrina Caldwell Tom Gedeon OOD 22 15 0 11 May 2021
Stochastic Image-to-Video Synthesis using cINNs Michael Dorkenwald Timo Milbich A. Blattmann Robin Rombach Konstantinos G. Derpanis Bjorn Ommer DiffM VGen 21 54 0 10 May 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels Yufan Zhou Changyou Chen Jinhui Xu 22 2 0 10 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 15 5 0 08 May 2021
Toward Interactive Modulation for Photo-Realistic Image Restoration Haoming Cai Jingwen He Qiao Yu Chao Dong GAN 21 18 0 07 May 2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation Lynton Ardizzone Jakob Kruse Carsten T. Lüth Niels Bracher Carsten Rother Ullrich Kothe 21 32 0 05 May 2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery Weibing Zhao Xu Yan Jiantao Gao Ruimao Zhang Jiayan Zhang Zhen Li Song Wu Shuguang Cui 3DPC 18 7 0 30 Apr 2021
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing Hyunsu Kim Yunjey Choi Junho Kim S. Yoo Youngjung Uh 21 145 0 30 Apr 2021
MOOD: Multi-level Out-of-distribution Detection Ziqian Lin Sreya . Dutta Roy Yixuan Li OODD 34 114 0 30 Apr 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 58 9 0 26 Apr 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies Soroush Nasiriany Vitchyr H. Pong Ashvin Nair Alexander Khazatsky Glen Berseth Sergey Levine OffRL 66 14 0 23 Apr 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar Richard Y. Zhang Jun-Yan Zhu EGVM 25 74 0 22 Apr 2021