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
Learning a Deep Color Difference Metric for Photographic Images Haoyu Chen Zhihua Wang Yang Yang Qilin Sun Kede Ma 17 6 0 27 Mar 2023
Learning Generative Models with Goal-conditioned Reinforcement Learning Mariana Vargas Vieyra Pierre Ménard GAN 19 0 0 26 Mar 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 41 21 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 49 0 0 24 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection Junji Otsuka Masakazu Yoshimura Takeshi Ohashi 20 5 0 24 Mar 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 124 71 0 23 Mar 2023
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement Akshay Paruchuri Xin Liu Yulu Pan Shwetak N. Patel Daniel J. McDuff Soumyadip Sengupta 43 5 0 21 Mar 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao Jianwen Xie Ping Li GAN 46 3 0 21 Mar 2023
Training Invertible Neural Networks as Autoencoders The-Gia Leo Nguyen Lynton Ardizzone Ullrich Kothe BDL DRL SSL 30 9 0 20 Mar 2023
Inverse problem regularization with hierarchical variational autoencoders Jean Prost Antoine Houdard Andrés Almansa Nicolas Papadakis 34 4 0 20 Mar 2023
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels J. Cross-Zamirski P. Anand Guy B. Williams E. Mouchet Yinhai Wang Carola-Bibiane Schönlieb VLM DiffM MedIm 14 8 0 15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field Construction Weiyang Jin Yongpei Zhu Yuxi Peng DiffM 28 0 0 14 Mar 2023
Digital staining in optical microscopy using deep learning -- a review Lucas Kreiss Shaowei Jiang Xiang Li Shiqi Xu Kevin C Zhou ... Seung Ah Lee G. Zheng Kyle J. Lafata O. Friedrich R. Horstmeyer 58 14 0 14 Mar 2023
Diffusion Models in NLP: A Survey Yuansong Zhu Yu Zhao DiffM VLM MedIm 29 23 0 14 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation Zhongying Deng Da Li Junjun He Yi-Zhe Song Tao Xiang 19 0 0 10 Mar 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jiemei Yao Li-Yuan Tsao Yi-Chen Lo Roy Tseng Chia-Che Chang Chun-Yi Lee SupR 25 34 0 09 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 34 14 0 06 Mar 2023
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow Jiarui Lei Xiao-Xiang Hu Yue Wang Dong Liu 48 59 0 05 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling Jinhai Yang Mengxi Guo Shijie Zhao Junlin Li Li Zhang 26 4 0 04 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 74 875 0 02 Mar 2023
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy Yinzhen Xu Weikang Wan Jialiang Zhang Haoran Liu Zikang Shan ... Yijia Weng Jiayi Chen Tengyu Liu Li Yi He Wang 71 115 0 02 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation Diederik P. Kingma Ruiqi Gao DiffM 21 128 0 01 Mar 2023
Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows Anna Willmann J. C. Cabadağ Yen-Yu Chang R. Pausch Amin Ghaith A. Debus A. Irman Michael Bussmann U. Schramm Nico Hoffmann 11 0 0 27 Feb 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 27 46 0 24 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis Alexander Norcliffe B. Cebere F. Imrie Pietro Lio M. Schaar SyDa 49 14 0 24 Feb 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen Dugan Peter Y. Lu Rumen Dangovski Di Luo M. Soljavcić AI4CE 29 4 0 23 Feb 2023
Texturize a GAN Using a Single Image Pengda Xiang Sitao Xiang Yajie Zhao GAN 28 0 0 21 Feb 2023
LU-Net: Invertible Neural Networks Based on Matrix Factorization Robin Shing Moon Chan Sarina Penquitt Hanno Gottschalk BDL 41 3 0 21 Feb 2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows Chao Qi Jianqin Yin Jinghang Xu Pengxiang Ding 3DPC 37 4 0 21 Feb 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 43 19 0 20 Feb 2023
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 26 39 0 20 Feb 2023
Restoration based Generative Models Jaemoo Choi Yesom Park Myung-joo Kang DiffM AI4CE 49 5 0 20 Feb 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 31 0 0 19 Feb 2023
Closed-Loop Transcription via Convolutional Sparse Coding Xili Dai K. Chen Shengbang Tong Jingyuan Zhang Xingjian Gao ... Yuexiang Zhai Xiaojun Yuan H. Shum L. Ni Yi Ma DiffM DRL 39 6 0 18 Feb 2023
Invertible Neural Skinning Yash Kant Aliaksandr Siarohin R. A. Guler Menglei Chai Jian Ren Sergey Tulyakov Igor Gilitschenski 3DH 35 2 0 18 Feb 2023
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models Stefan T. Radev Marvin Schmitt Valentin Pratz Umberto Picchini Ullrich Kothe Paul-Christian Bürkner BDL 39 29 0 17 Feb 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning Dahuin Jung Dongjin Lee Sunwon Hong Hyemi Jang Ho Bae Sungroh Yoon CLL 39 14 0 17 Feb 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Xuejie Liu Hoang Trung-Dung Guy Van den Broeck Yitao Liang TPM 36 13 0 16 Feb 2023
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records Bingyue Su Yu Wang Daniele E. Schiavazzi Fang Liu 28 2 0 11 Feb 2023
Reversible Vision Transformers K. Mangalam Haoqi Fan Yanghao Li Chaoxiong Wu Bo Xiong Christoph Feichtenhofer Jitendra Malik ViT 11 45 0 09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 24 118 0 09 Feb 2023
Long Horizon Temperature Scaling Andy Shih Dorsa Sadigh Stefano Ermon DiffM 29 14 0 07 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Lyle Regenwetter Akash Srivastava Dan Gutfreund Faez Ahmed 31 28 0 06 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 30 44 0 06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 42 26 0 04 Feb 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks Kaleb Phipps Benedikt Heidrich Marian Turowski Moritz Wittig Ralf Mikut V. Hagenmeyer UQCV 26 1 0 03 Feb 2023
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling Lucas Berry David Meger 26 7 0 02 Feb 2023
Training Normalizing Flows with the Precision-Recall Divergence Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 39 1 0 01 Feb 2023