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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

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Title
A Method to Model Conditional Distributions with Normalizing Flows Zhisheng Xiao Qing Yan Y. Amit BDL 24 6 0 05 Nov 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 271 858 0 04 Nov 2019
On Distributed Quantization for Classification Osama A. Hanna Yahya H. Ezzeldin Tara Sadjadpour Christina Fragouli Suhas Diggavi MQ 81 14 0 01 Nov 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 100 47 0 29 Oct 2019
The Six Fronts of the Generative Adversarial Networks Alceu Bissoto Eduardo Valle Sandra Avila GAN AI4CE 72 18 0 29 Oct 2019
Semi-Implicit Stochastic Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL 58 5 0 28 Oct 2019
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data D. R. Ferreira P. Carvalho H. Fernandes 52 37 0 27 Oct 2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding Ming Y. Lu Richard J. Chen Jingwen Wang Debora Dillon Faisal Mahmood SSL 112 99 0 23 Oct 2019
Unsupervised Out-of-Distribution Detection with Batch Normalization Jiaming Song Yang Song Stefano Ermon OODD 69 22 0 21 Oct 2019
Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching Zengyi Li Yubei Chen Friedrich T. Sommer DiffM 91 28 0 17 Oct 2019
Autoregressive Models: What Are They Good For? Murtaza Dalal Alexander C. Li Rohan Taori 23 14 0 17 Oct 2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling Y. Yoo Sanghyuk Chun Sangdoo Yun Jung-Woo Ha Jaejun Yoo 23 0 0 15 Oct 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey D. Ignatov Radu Timofte Andrei Kulik Seungsoo Yang Ke Wang Felix Baum Max Wu Lirong Xu Luc Van Gool ELM 53 222 0 15 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 46 5 0 07 Oct 2019
Negative Sampling in Variational Autoencoders Adrián Csiszárik Beatrix Benko D. Varga UQCV DRL 49 4 0 07 Oct 2019
Neural Puppet: Generative Layered Cartoon Characters Selim Engin E. Mitchell Daewon Lee Jun Saito Daniel D. Lee 3DH GAN 70 11 0 04 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 65 0 0 04 Oct 2019
Unsupervised Doodling and Painting with Improved SPIRAL John F. J. Mellor Eunbyung Park Yaroslav Ganin Igor Babuschkin Tejas D. Kulkarni Dan Rosenbaum Andy Ballard T. Weber Oriol Vinyals S. M. Ali Eslami 107 46 0 02 Oct 2019
Gated Linear Networks William H. Guss Tor Lattimore David Budden Avishkar Bhoopchand Christopher Mattern ... Ruslan Salakhutdinov Jianan Wang Peter Toth Simon Schmitt Marcus Hutter AI4CE 116 41 0 30 Sep 2019
Overparameterized Neural Networks Implement Associative Memory Adityanarayanan Radhakrishnan M. Belkin Caroline Uhler BDL 99 74 0 26 Sep 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 139 18 0 25 Sep 2019
Where to Look Next: Unsupervised Active Visual Exploration on 360° Input Soroush Seifi Tinne Tuytelaars 70 10 0 23 Sep 2019
Real Time Trajectory Prediction Using Deep Conditional Generative Models S. Gómez-González Sergey Prokudin Bernhard Schölkopf Jan Peters DRL AI4CE 47 40 0 09 Sep 2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning Johann Brehmer S. Mishra-Sharma Joeri Hermans Gilles Louppe Kyle Cranmer 114 74 0 04 Sep 2019
Learning Distributions Generated by One-Layer ReLU Networks Shanshan Wu A. Dimakis Sujay Sanghavi 84 22 0 04 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 106 60 0 03 Sep 2019
READ: Recursive Autoencoders for Document Layout Generation A. Patil Omri Ben-Eliezer Or Perel Hadar Averbuch-Elor 3DV SyDa 78 68 0 01 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
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer Haoliang Sun Ronak R. Mehta H. Zhou Z. Huang Sterling C. Johnson V. Prabhakaran Vikas Singh MedIm 106 46 0 21 Aug 2019
Boundless: Generative Adversarial Networks for Image Extension Piotr Teterwak Aaron Sarna Dilip Krishnan Aaron Maschinot David Belanger Ce Liu William T. Freeman GAN 87 111 0 19 Aug 2019
Survey on Deep Neural Networks in Speech and Vision Systems M. Alam Manar D. Samad Lasitha Vidyaratne Alexander M. Glandon Khan M. Iftekharuddin 3DV VLM AI4TS 100 212 0 16 Aug 2019
Random Sum-Product Forests with Residual Links Fabrizio G. Ventola Karl Stelzner Alejandro Molina Kristian Kersting TPM 18 2 0 08 Aug 2019
Continuous Graph Flow Zhiwei Deng Megha Nawhal Lili Meng Greg Mori 56 3 0 07 Aug 2019
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 85 41 0 06 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
Bayesian Volumetric Autoregressive generative models for better semisupervised learning Guilherme Pombo Robert J. Gray Thomas Varsavsky John Ashburner P. Nachev GAN BDL MedIm 60 6 0 26 Jul 2019
MadMiner: Machine learning-based inference for particle physics Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 81 115 0 24 Jul 2019
Noise Contrastive Variational Autoencoders O. Ganea Yashas Annadani Gary Bécigneul DRL 32 0 0 23 Jul 2019
Deep Perceptual Compression Yash J. Patel Srikar Appalaraju R. Manmatha 67 25 0 18 Jul 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions Yang Song Chenlin Meng Stefano Ermon 52 68 0 18 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 273 3,972 0 12 Jul 2019
On the Evaluation of Conditional GANs Terrance Devries Adriana Romero Luis Villaseñor-Pineda Graham W. Taylor M. Drozdzal EGVM 87 43 0 11 Jul 2019
Semi-supervised Image Attribute Editing using Generative Adversarial Networks Y. Dogan H. Keles GAN 54 21 0 03 Jul 2019
Generative Models for Automatic Chemical Design Daniel Schwalbe-Koda Rafael Gómez-Bombarelli MedIm AI4CE 87 81 0 02 Jul 2019
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands Minho Park Hak Gu Kim Yong Man Ro 31 3 0 02 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 156 672 0 28 Jun 2019
Curriculum Learning for Deep Generative Models with Clustering Deli Zhao Jiapeng Zhu Zhenfang Guo Bo Zhang GNN 85 2 0 27 Jun 2019
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression Mu Li Kede Ma J. You David C. Zhang W. Zuo 75 69 0 24 Jun 2019
To each route its own ETA: A generative modeling framework for ETA prediction Charul Pravesh Biyani AI4TS 49 10 0 24 Jun 2019
Adversarial Learning for Improved Onsets and Frames Music Transcription Jong Wook Kim J. P. Bello 176 49 0 20 Jun 2019