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Glow: Generative Flow with Invertible 1x1 Convolutions

Glow: Generative Flow with Invertible 1x1 Convolutions

9 July 2018
Diederik P. Kingma
Prafulla Dhariwal
    BDL
    DRL
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Papers citing "Glow: Generative Flow with Invertible 1x1 Convolutions"

50 / 1,800 papers shown
Title
MCMC Should Mix: Learning Energy-Based Model with Neural Transport
  Latent Space MCMC
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
Erik Nijkamp
Ruiqi Gao
Pavel Sountsov
Srinivas Vasudevan
Bo Pang
Song-Chun Zhu
Ying Nian Wu
BDL
29
21
0
12 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator
End-to-end Sinkhorn Autoencoder with Noise Generator
Kamil Deja
Jan Dubiñski
Piotr W. Nowak
S. Wenzel
Tomasz Trzciñski
SyDa
30
22
0
11 Jun 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo
Shahin Boluki
Xinyu Gong
Zhangyang Wang
Xiaoning Qian
UQCV
11
18
0
11 Jun 2020
Robust model training and generalisation with Studentising flows
Robust model training and generalisation with Studentising flows
Simon Alexanderson
G. Henter
OOD
8
14
0
11 Jun 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation
  of Facial Gestures in Dyadic Settings
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings
Patrik Jonell
Taras Kucherenko
G. Henter
Jonas Beskow
CVBM
17
61
0
11 Jun 2020
Latent Transformations for Discrete-Data Normalising Flows
Latent Transformations for Discrete-Data Normalising Flows
Rob D. Hesselink
Wilker Aziz
DRL
21
1
0
11 Jun 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
Sang-gil Lee
Sungwon Kim
Sungroh Yoon
35
17
0
11 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials
Learning normalizing flows from Entropy-Kantorovich potentials
Chris Finlay
Augusto Gerolin
Adam M. Oberman
Aram-Alexandre Pooladian
33
23
0
10 Jun 2020
Probabilistic Autoencoder
Probabilistic Autoencoder
Vanessa Böhm
U. Seljak
UQCV
BDL
DRL
24
32
0
09 Jun 2020
Super-resolution Variational Auto-Encoders
Super-resolution Variational Auto-Encoders
Ioannis Gatopoulos
M. Stol
Jakub M. Tomczak
SupR
DiffM
33
15
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows
Multi-fidelity Generative Deep Learning Turbulent Flows
N. Geneva
N. Zabaras
AI4CE
21
44
0
08 Jun 2020
The Lipschitz Constant of Self-Attention
The Lipschitz Constant of Self-Attention
Hyunjik Kim
George Papamakarios
A. Mnih
16
135
0
08 Jun 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim
Hyeonseung Lee
Woohyun Kang
Joun Yeop Lee
N. Kim
3DPC
25
114
0
08 Jun 2020
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
WaveNODE: A Continuous Normalizing Flow for Speech Synthesis
Hyeongju Kim
Hyeongseung Lee
Woohyun Kang
Sung Jun Cheon
Byoung Jin Choi
N. Kim
30
12
0
08 Jun 2020
Constant-Expansion Suffices for Compressed Sensing with Generative
  Priors
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
C. Daskalakis
Dhruv Rohatgi
Manolis Zampetakis
24
12
0
07 Jun 2020
Structure preserving deep learning
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
15
44
0
05 Jun 2020
Auto-decoding Graphs
Auto-decoding Graphs
Sohil Shah
V. Koltun
GNN
34
4
0
04 Jun 2020
Uncertainty quantification in medical image segmentation with
  normalizing flows
Uncertainty quantification in medical image segmentation with normalizing flows
Raghavendra Selvan
F. Faye
Jon Middleton
A. Pai
MedIm
18
30
0
04 Jun 2020
Graphical Normalizing Flows
Graphical Normalizing Flows
Antoine Wehenkel
Gilles Louppe
TPM
BDL
12
37
0
03 Jun 2020
Least $k$th-Order and Rényi Generative Adversarial Networks
Least kkkth-Order and Rényi Generative Adversarial Networks
Himesh Bhatia
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
GAN
22
8
0
03 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric
  Densities
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Jonas Köhler
Leon Klein
Frank Noé
DRL
40
259
0
03 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom
Victor Garcia Satorras
Jakub M. Tomczak
Max Welling
30
28
0
02 Jun 2020
Neural Control Variates
Neural Control Variates
Thomas Müller
Fabrice Rousselle
Jan Novák
A. Keller
BDL
18
54
0
02 Jun 2020
Recapture as You Want
Recapture as You Want
Chen Gao
Si Liu
Ran He
Shuicheng Yan
Bo Li
17
9
0
02 Jun 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal
  Transport
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken
Samy Wu Fung
Xingjian Li
Lars Ruthotto
OT
23
156
0
29 May 2020
Network-to-Network Translation with Conditional Invertible Neural
  Networks
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach
Patrick Esser
Bjorn Ommer
16
3
0
27 May 2020
A comparison of Vietnamese Statistical Parametric Speech Synthesis
  Systems
A comparison of Vietnamese Statistical Parametric Speech Synthesis Systems
Phan Huy Kinh
V. Phung
Anh-Tuan Dinh
Quoc Bao Nguyen
22
1
0
26 May 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment
  Search
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Jaehyeon Kim
Sungwon Kim
Jungil Kong
Sungroh Yoon
54
478
0
22 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
39
1,308
0
20 May 2020
Model Repair: Robust Recovery of Over-Parameterized Statistical Models
Model Repair: Robust Recovery of Over-Parameterized Statistical Models
Chao Gao
John D. Lafferty
15
6
0
20 May 2020
Color Visual Illusions: A Statistics-based Computational Model
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch
A. Tal
AAML
13
0
0
18 May 2020
Learning Joint Articulatory-Acoustic Representations with Normalizing
  Flows
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows
Pramit Saha
S. Fels
DRL
19
4
0
16 May 2020
WG-WaveNet: Real-Time High-Fidelity Speech Synthesis without GPU
WG-WaveNet: Real-Time High-Fidelity Speech Synthesis without GPU
Po-Chun Hsu
Hung-yi Lee
25
16
0
15 May 2020
Subsampled Fourier Ptychography using Pretrained Invertible and
  Untrained Network Priors
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
Fahad Shamshad
Asif Hanif
Ali Ahmed
DiffM
13
8
0
13 May 2020
Flowtron: an Autoregressive Flow-based Generative Network for
  Text-to-Speech Synthesis
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle
Kevin J. Shih
R. Prenger
Bryan Catanzaro
25
119
0
12 May 2020
Invertible Image Rescaling
Invertible Image Rescaling
Mingqing Xiao
Shuxin Zheng
Chang-Shu Liu
Yaolong Wang
Di He
Guolin Ke
Jiang Bian
Zhouchen Lin
Tie-Yan Liu
SupR
33
234
0
12 May 2020
Detecting CNN-Generated Facial Images in Real-World Scenarios
Detecting CNN-Generated Facial Images in Real-World Scenarios
Nils Hulzebosch
Sarah Ibrahimi
M. Worring
CVBM
43
77
0
12 May 2020
Multi-band MelGAN: Faster Waveform Generation for High-Quality
  Text-to-Speech
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech
Geng Yang
Shan Yang
Kai-Chun Liu
Peng Fang
Wei Chen
Lei Xie
68
198
0
11 May 2020
Fake face detection via adaptive manipulation traces extraction network
Fake face detection via adaptive manipulation traces extraction network
Zhiqing Guo
Gaobo Yang
Jiyou Chen
Xingming Sun
CVBM
24
16
0
11 May 2020
Transforming and Projecting Images into Class-conditional Generative
  Networks
Transforming and Projecting Images into Class-conditional Generative Networks
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
31
110
0
04 May 2020
Jukebox: A Generative Model for Music
Jukebox: A Generative Model for Music
Prafulla Dhariwal
Heewoo Jun
Christine Payne
Jong Wook Kim
Alec Radford
Ilya Sutskever
VLM
55
724
0
30 Apr 2020
A Disentangling Invertible Interpretation Network for Explaining Latent
  Representations
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
Patrick Esser
Robin Rombach
Bjorn Ommer
14
86
0
27 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
30
176
0
21 Apr 2020
Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech
  System
Data Processing for Optimizing Naturalness of Vietnamese Text-to-speech System
V. Phung
Phan Huy Kinh
Anh-Tuan Dinh
Quoc Bao Nguyen
30
5
0
20 Apr 2020
Roundtrip: A Deep Generative Neural Density Estimator
Roundtrip: A Deep Generative Neural Density Estimator
Qiao Liu
Jiaze Xu
R. Jiang
W. Wong
OT
42
4
0
20 Apr 2020
Parameterizing uncertainty by deep invertible networks, an application
  to reservoir characterization
Parameterizing uncertainty by deep invertible networks, an application to reservoir characterization
G. Rizzuti
Ali Siahkoohi
Philipp A. Witte
Felix J. Herrmann
UQCV
33
20
0
16 Apr 2020
Image Quality Assessment: Unifying Structure and Texture Similarity
Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding
Kede Ma
Shiqi Wang
Eero P. Simoncelli
20
755
0
16 Apr 2020
On the use of Benford's law to detect GAN-generated images
On the use of Benford's law to detect GAN-generated images
Nicolo Bonettini
Paolo Bestagini
Simone Milani
Stefano Tubaro
GAN
13
38
0
16 Apr 2020
Classify and Generate: Using Classification Latent Space Representations
  for Image Generations
Classify and Generate: Using Classification Latent Space Representations for Image Generations
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Yasin Yazici
Chuan-Sheng Foo
V. Chandrasekhar
Arulmurugan Ambikapathi
DiffM
20
4
0
16 Apr 2020
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