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Flow++: Improving Flow-Based Generative Models with Variational
  Dequantization and Architecture Design

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

1 February 2019
Jonathan Ho
Xi Chen
A. Srinivas
Yan Duan
Pieter Abbeel
    DRL
ArXivPDFHTML

Papers citing "Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design"

13 / 113 papers shown
Title
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
31
87
0
17 Feb 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDL
AI4TS
AI4CE
24
179
0
14 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic
  regularization
How to train your neural ODE: the world of Jacobian and kinetic regularization
Chris Finlay
J. Jacobsen
L. Nurbekyan
Adam M. Oberman
11
296
0
07 Feb 2020
Learning Discrete Distributions by Dequantization
Learning Discrete Distributions by Dequantization
Emiel Hoogeboom
Taco S. Cohen
Jakub M. Tomczak
DRL
34
31
0
30 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
66
426
0
26 Jan 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
57
1,631
0
05 Dec 2019
FIS-GAN: GAN with Flow-based Importance Sampling
FIS-GAN: GAN with Flow-based Importance Sampling
Shiyu Yi
Donglin Zhan
Wenqing Zhang
Zhengyang Geng
Kang An
Hao Wang
GAN
24
3
0
06 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising
  Flows
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
R. Cornish
Anthony L. Caterini
George Deligiannidis
Arnaud Doucet
22
2
0
30 Sep 2019
Intensity-Free Learning of Temporal Point Processes
Intensity-Free Learning of Temporal Point Processes
Oleksandr Shchur
Marin Bilos
Stephan Günnemann
AI4TS
27
167
0
26 Sep 2019
Neural Spline Flows
Neural Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
DRL
19
745
0
10 Jun 2019
Structured Output Learning with Conditional Generative Flows
Structured Output Learning with Conditional Generative Flows
You Lu
Bert Huang
BDL
DRL
21
72
0
30 May 2019
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Fast Flow Reconstruction via Robust Invertible nxn Convolution
Thanh-Dat Truong
Khoa Luu
C. Duong
Ngan Le
M. Tran
19
7
0
24 May 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
272
2,552
0
25 Jan 2016
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