PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017

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Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

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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 106 547 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 219 1,720 0 05 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 98 115 0 02 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 272 226 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 67 22 0 28 Nov 2019
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution Yitong Yan Chuangchuang Liu Changyou Chen Xianfang Sun Longcun Jin Xiang Zhou GAN 149 51 0 25 Nov 2019
DZip: improved general-purpose lossless compression based on novel neural network modeling Mohit Goyal Kedar Tatwawadi Shubham Chandak Idoia Ochoa AI4CE 43 24 0 08 Nov 2019
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 90 168 0 29 Oct 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 95 47 0 29 Oct 2019
Semi-Supervised Generative Modeling for Controllable Speech Synthesis Raza Habib Soroosh Mariooryad Matt Shannon Eric Battenberg RJ Skerry-Ryan Daisy Stanton David Kao Tom Bagby BDL 68 48 0 03 Oct 2019
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 166 277 0 25 Sep 2019
Understanding and Improving Virtual Adversarial Training Dongha Kim Yongchan Choi Yongdai Kim GAN AAML 22 2 0 15 Sep 2019
Flow Models for Arbitrary Conditional Likelihoods Yongqian Li Shoaib Akbar Junier B. Oliva OOD AI4CE 76 40 0 13 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 104 60 0 03 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 53 33 0 26 Aug 2019
Likelihood Contribution based Multi-scale Architecture for Generative Flows Hari Prasanna Das Pieter Abbeel C. Spanos DRL AI4CE 59 5 0 05 Aug 2019
Generative Models for Automatic Chemical Design Daniel Schwalbe-Koda Rafael Gómez-Bombarelli MedIm AI4CE 87 81 0 02 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 87 125 0 23 Jun 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 126 119 0 21 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 67 11 0 17 Jun 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 123 1,217 0 13 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 216 778 0 10 Jun 2019
MelNet: A Generative Model for Audio in the Frequency Domain Sean Vasquez M. Lewis DiffM 85 132 0 04 Jun 2019
Understanding the Limitations of Conditional Generative Models Ethan Fetaya J. Jacobsen Will Grathwohl R. Zemel 96 54 0 04 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 84 14 0 31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 84 88 0 30 May 2019
The Variational InfoMax AutoEncoder Vincenzo Crescimanna Bruce P. Graham DRL 57 3 0 25 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 89 206 0 24 May 2019
AttentionRNN: A Structured Spatial Attention Mechanism Siddhesh Khandelwal Leonid Sigal 60 3 0 22 May 2019
Compression with Flows via Local Bits-Back Coding Jonathan Ho Evan Lohn Pieter Abbeel 103 54 0 21 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces Bryan Seybold Emily Fertig Alexander A. Alemi Ian S. Fischer DRL 89 4 0 17 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 150 160 0 17 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 94 98 0 16 May 2019
Learning to Groove with Inverse Sequence Transformations Jon Gillick Adam Roberts Jesse Engel Douglas Eck David Bamman SLR BDL 74 81 0 14 May 2019
Improving Opus Low Bit Rate Quality with Neural Speech Synthesis Jan Skoglund J. Valin 88 38 0 12 May 2019
Deep Unsupervised Cardinality Estimation Zongheng Yang Eric Liang Amog Kamsetty Chenggang Wu Yan Duan Peter Chen Pieter Abbeel J. M. Hellerstein S. Krishnan Ion Stoica 94 208 0 10 May 2019
Generative Model with Dynamic Linear Flow Huadong Liao Jiawei He Kun-xian Shu DRL 49 5 0 08 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 109 134 0 26 Apr 2019
Generating Long Sequences with Sparse Transformers R. Child Scott Gray Alec Radford Ilya Sutskever 140 1,924 0 23 Apr 2019
WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation Kou Tanaka Hirokazu Kameoka Takuhiro Kaneko Nobukatsu Hojo 80 19 0 05 Apr 2019
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications Zhipeng Wang D. W. Scott 73 71 0 30 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 113 408 0 05 Mar 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 50 3 0 27 Feb 2019
GANSynth: Adversarial Neural Audio Synthesis Jesse Engel Kumar Krishna Agrawal Shuo Chen Ishaan Gulrajani Chris Donahue Adam Roberts 107 393 0 23 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 83 72 0 14 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 88 215 0 06 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 102 451 0 01 Feb 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 105 129 0 29 Jan 2019
High-Quality Self-Supervised Deep Image Denoising S. Laine Tero Karras J. Lehtinen Timo Aila 57 342 0 29 Jan 2019