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
Learned Interpolation for 3D Generation Austin Dill Songwei Ge Eunsu Kang Chun-Liang Li Barnabás Póczós 3DV 9 0 0 08 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 43 529 0 06 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 67 1,635 0 05 Dec 2019
Towards Robust Neural Vocoding for Speech Generation: A Survey Po-Chun Hsu Chun-hsuan Wang Andy T. Liu Hung-yi Lee OOD 25 24 0 05 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp Bo Pang Tian Han Linqi Zhou Song-Chun Zhu Ying Nian Wu BDL DRL 19 2 0 04 Dec 2019
WaveFlow: A Compact Flow-based Model for Raw Audio Ming-Yu Liu Kainan Peng Kexin Zhao Z. Song 27 116 0 03 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 22 112 0 02 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 6 220 0 29 Nov 2019
Transflow Learning: Repurposing Flow Models Without Retraining Andrew Gambardella A. G. Baydin Philip Torr DRL AI4CE 14 8 0 29 Nov 2019
A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients David Zimmerer Jens Petersen Simon A. A. Kohl Klaus H. Maier-Hein DRL 19 22 0 28 Nov 2019
SchrödingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State Beñat Mencia Uranga A. Lamacraft 30 3 0 26 Nov 2019
Noise Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada NoLa OOD 27 30 0 26 Nov 2019
Representation Learning: A Statistical Perspective Jianwen Xie Ruiqi Gao Erik Nijkamp Song-Chun Zhu Ying Nian Wu SSL 26 12 0 26 Nov 2019
Invert to Learn to Invert P. Putzky Max Welling 13 75 0 25 Nov 2019
Invertible DNN-based nonlinear time-frequency transform for speech enhancement Daiki Takeuchi Kohei Yatabe Yuma Koizumi Yasuhiro Oikawa Noboru Harada 30 10 0 25 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores Wilson Yan Jonathan Ho Pieter Abbeel 22 0 0 25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 22 10 0 24 Nov 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji S. Feizi AAML 21 20 0 20 Nov 2019
Learning to Synthesize Fashion Textures Wu Shi Tak-Wai Hui Ziwei Liu Dahua Lin Chen Change Loy 21 5 0 18 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 38 52 0 18 Nov 2019
Likelihood Assignment for Out-of-Distribution Inputs in Deep Generative Models is Sensitive to Prior Distribution Choice Ryo Kamoi Kei Kobayashi 23 2 0 15 Nov 2019
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data John Just Sambuddha Ghosal DiffM DRL 25 6 0 12 Nov 2019
Machine learning for molecular simulation Frank Noé A. Tkatchenko K. Müller C. Clementi AI4CE 27 642 0 07 Nov 2019
Understanding Knowledge Distillation in Non-autoregressive Machine Translation Chunting Zhou Graham Neubig Jiatao Gu 30 220 0 07 Nov 2019
A Method to Model Conditional Distributions with Normalizing Flows Zhisheng Xiao Qing Yan Y. Amit BDL 9 6 0 05 Nov 2019
A GMM based algorithm to generate point-cloud and its application to neuroimaging Liu Yang Rudrasis Chakraborty MedIm 11 6 0 05 Nov 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 26 829 0 04 Nov 2019
Review: Ordinary Differential Equations For Deep Learning Xinshi Chen AI4TS AI4CE 33 5 0 01 Nov 2019
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow Haoran Sun Yunqi Cai Lantian Li Dong Wang 21 1 0 29 Oct 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 30 44 0 29 Oct 2019
POIRot: A rotation invariant omni-directional pointnet Liu Yang Rudrasis Chakraborty Stella X. Yu 3DPC 16 0 0 29 Oct 2019
Transferring neural speech waveform synthesizers to musical instrument sounds generation Yi Zhao Xin Wang Lauri Juvela Junichi Yamagishi 24 16 0 27 Oct 2019
Reversible designs for extreme memory cost reduction of CNN training T. Hascoet Q. Febvre Y. Ariki T. Takiguchi 3DV 6 2 0 24 Oct 2019
Markov Random Fields for Collaborative Filtering Harald Steck 27 26 0 21 Oct 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization Jiaming Song Yang Song Stefano Ermon OODD 19 22 0 21 Oct 2019
Point Process Flows Nazanin Mehrasa Ruizhi Deng Mohamed Osama Ahmed B. Chang Jiawei He Thibaut Durand Marcus A. Brubaker Greg Mori AI4TS 20 9 0 18 Oct 2019
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 13 26 0 17 Oct 2019
Label-Conditioned Next-Frame Video Generation with Neural Flows Sergey Tarasenko VGen 21 1 0 16 Oct 2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling Y. Yoo Sanghyuk Chun Sangdoo Yun Jung-Woo Ha Jaejun Yoo 20 0 0 15 Oct 2019
Imitating by generating: deep generative models for imitation of interactive tasks Judith Butepage Ali Ghadirzadeh Özge Öztimur Karadag Mårten Björkman Danica Kragic 29 29 0 14 Oct 2019
Powering Hidden Markov Model by Neural Network based Generative Models Dong Liu Antoine Honoré S. Chatterjee L. Rasmussen BDL 19 15 0 13 Oct 2019
Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao Yukun Yang H. Li AAML 24 183 0 10 Oct 2019
Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space Keizo Kato Jing Zhou Tomotake Sasaki Akira Nakagawa DRL 12 0 0 10 Oct 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis Kundan Kumar Rithesh Kumar T. Boissière L. Gestin Wei Zhen Teoh Jose M. R. Sotelo A. D. Brébisson Yoshua Bengio Aaron Courville GAN 21 939 0 08 Oct 2019
MIM: Mutual Information Machine M. Livne Kevin Swersky David J. Fleet DRL 19 6 0 08 Oct 2019
Negative Sampling in Variational Autoencoders Adrián Csiszárik Beatrix Benko D. Varga UQCV DRL 17 4 0 07 Oct 2019
FIS-GAN: GAN with Flow-based Importance Sampling Shiyu Yi Donglin Zhan Wenqing Zhang Zhengyang Geng Kang An Hao Wang GAN 29 3 0 06 Oct 2019
Stacked Wasserstein Autoencoder Wenju Xu Shawn Keshmiri Guanghui Wang BDL DiffM DRL 14 14 0 04 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 36 0 0 04 Oct 2019
Fluid Flow Mass Transport for Generative Networks Jingrong Lin Keegan Lensink Dirk Soffker GAN 25 8 0 03 Oct 2019