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Inference Suboptimality in Variational Autoencoders

Inference Suboptimality in Variational Autoencoders

10 January 2018
Chris Cremer
Xuechen Li
David Duvenaud
    DRL
    BDL
ArXivPDFHTML

Papers citing "Inference Suboptimality in Variational Autoencoders"

12 / 62 papers shown
Title
Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes
James Requeima
Jonathan Gordon
J. Bronskill
Sebastian Nowozin
Richard Turner
24
240
0
18 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating
  Next Expected Observations
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu
Dinesh Manocha
Jun Wang
Kai Xu
16
15
0
17 Jun 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans
Volodimir Begy
Gilles Louppe
29
20
0
10 Mar 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
14
272
0
16 Jan 2019
Bayesian Learning of Neural Network Architectures
Bayesian Learning of Neural Network Architectures
G. Dikov
Patrick van der Smagt
Justin Bayer
BDL
28
30
0
14 Jan 2019
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data
Pierre-Alexandre Mattei
J. Frellsen
SyDa
25
45
0
06 Dec 2018
Multi-Source Neural Variational Inference
Multi-Source Neural Variational Inference
Richard Kurle
Stephan Günnemann
Patrick van der Smagt
BDL
SSL
DRL
17
25
0
11 Nov 2018
VoxelMorph: A Learning Framework for Deformable Medical Image
  Registration
VoxelMorph: A Learning Framework for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian V. Dalca
MedIm
44
1,543
0
14 Sep 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
45
263
0
24 May 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDL
DRL
25
243
0
07 Feb 2018
Faithful Inversion of Generative Models for Effective Amortized
  Inference
Faithful Inversion of Generative Models for Effective Amortized Inference
Stefan Webb
Adam Goliñski
R. Zinkov
Siddharth Narayanaswamy
Tom Rainforth
Yee Whye Teh
Frank D. Wood
TPM
26
46
0
01 Dec 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
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