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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown
Title
A Method to Model Conditional Distributions with Normalizing Flows
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
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
271
857
0
04 Nov 2019
On Distributed Quantization for Classification
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
Neural Density Estimation and Likelihood-free Inference
George Papamakarios
BDLDRL
100
47
0
29 Oct 2019
The Six Fronts of the Generative Adversarial Networks
The Six Fronts of the Generative Adversarial Networks
Alceu Bissoto
Eduardo Valle
Sandra Avila
GANAI4CE
72
18
0
29 Oct 2019
Semi-Implicit Stochastic Recurrent Neural Networks
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
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
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
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
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?
Autoregressive Models: What Are They Good For?
Murtaza Dalal
Alexander C. Li
Rohan Taori
15
14
0
17 Oct 2019
Neural Approximation of an Auto-Regressive Process through Confidence
  Guided Sampling
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
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
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
Negative Sampling in Variational Autoencoders
Adrián Csiszárik
Beatrix Benko
D. Varga
UQCVDRL
49
4
0
07 Oct 2019
Neural Puppet: Generative Layered Cartoon Characters
Neural Puppet: Generative Layered Cartoon Characters
Selim Engin
E. Mitchell
Daewon Lee
Jun Saito
Daniel D. Lee
3DHGAN
70
11
0
04 Oct 2019
High Mutual Information in Representation Learning with Symmetric
  Variational Inference
High Mutual Information in Representation Learning with Symmetric Variational Inference
M. Livne
Kevin Swersky
David J. Fleet
SSLDRL
63
0
0
04 Oct 2019
Unsupervised Doodling and Painting with Improved SPIRAL
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
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
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
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
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
Real Time Trajectory Prediction Using Deep Conditional Generative Models
S. Gómez-González
Sergey Prokudin
Bernhard Schölkopf
Jan Peters
DRLAI4CE
47
40
0
09 Sep 2019
Mining for Dark Matter Substructure: Inferring subhalo population
  properties from strong lenses with machine learning
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
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
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
READ: Recursive Autoencoders for Document Layout Generation
A. Patil
Omri Ben-Eliezer
Or Perel
Hadar Averbuch-Elor
3DVSyDa
78
68
0
01 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi
Evgeny Andriyash
W. Vinci
L. Buffoni
Mohammad H. Amin
BDLDRL
53
33
0
26 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
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
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
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DVVLMAI4TS
100
212
0
16 Aug 2019
Random Sum-Product Forests with Residual Links
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
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
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
Likelihood Contribution based Multi-scale Architecture for Generative Flows
Hari Prasanna Das
Pieter Abbeel
C. Spanos
DRLAI4CE
59
5
0
05 Aug 2019
Bayesian Volumetric Autoregressive generative models for better
  semisupervised learning
Bayesian Volumetric Autoregressive generative models for better semisupervised learning
Guilherme Pombo
Robert J. Gray
Thomas Varsavsky
John Ashburner
P. Nachev
GANBDLMedIm
60
6
0
26 Jul 2019
MadMiner: Machine learning-based inference for particle physics
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
Deep Perceptual Compression
Yash J. Patel
Srikar Appalaraju
R. Manmatha
67
25
0
18 Jul 2019
MintNet: Building Invertible Neural Networks with Masked Convolutions
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
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
273
3,972
0
12 Jul 2019
On the Evaluation of Conditional GANs
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
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
Generative Models for Automatic Chemical Design
Daniel Schwalbe-Koda
Rafael Gómez-Bombarelli
MedImAI4CE
87
81
0
02 Jul 2019
Generative Guiding Block: Synthesizing Realistic Looking Variants
  Capable of Even Large Change Demands
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
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
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
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
To each route its own ETA: A generative modeling framework for ETA prediction
Charul
Pravesh Biyani
AI4TS
41
10
0
24 Jun 2019
Adversarial Learning for Improved Onsets and Frames Music Transcription
Adversarial Learning for Improved Onsets and Frames Music Transcription
Jong Wook Kim
J. P. Bello
176
49
0
20 Jun 2019
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