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Learning Likelihoods with Conditional Normalizing Flows
v1v2 (latest)

Learning Likelihoods with Conditional Normalizing Flows

29 November 2019
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
    TPM
ArXiv (abs)PDFHTML

Papers citing "Learning Likelihoods with Conditional Normalizing Flows"

6 / 156 papers shown
Title
Deep Structural Causal Models for Tractable Counterfactual Inference
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CMLMedIm
112
243
0
11 Jun 2020
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density
  Modelling of Urban Mobility
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility
Daniele Gammelli
Filipe Rodrigues
42
1
0
09 Jun 2020
Learning Discrete Distributions by Dequantization
Learning Discrete Distributions by Dequantization
Emiel Hoogeboom
Taco S. Cohen
Jakub M. Tomczak
DRL
104
31
0
30 Jan 2020
i-flow: High-dimensional Integration and Sampling with Normalizing Flows
i-flow: High-dimensional Integration and Sampling with Normalizing Flows
Christina Gao
J. Isaacson
Claudius Krause
AI4CE
83
111
0
15 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
TPMAI4CE
219
1,724
0
05 Dec 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation
  and Bayesian Inference
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
Jakob Kruse
Gianluca Detommaso
Ullrich Kothe
Robert Scheichl
98
45
0
25 May 2019
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