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The Informed Sampler: A Discriminative Approach to Bayesian Inference in
  Generative Computer Vision Models

The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models

4 February 2014
Varun Jampani
Sebastian Nowozin
M. Loper
Peter V. Gehler
ArXivPDFHTML

Papers citing "The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models"

6 / 6 papers shown
Title
A Learned Representation for Scalable Vector Graphics
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GAN
OCL
22
113
0
04 Apr 2019
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Adam Kortylewski
Mario Wieser
Andreas Morel-Forster
Aleksander Wieczorek
S. Parbhoo
Volker Roth
T. Vetter
GAN
CVBM
14
12
0
19 Nov 2018
Inner Space Preserving Generative Pose Machine
Inner Space Preserving Generative Pose Machine
Shuangjun Liu
Sarah Ostadabbas
GAN
18
6
0
06 Aug 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
Synthesizing Programs for Images using Reinforced Adversarial Learning
Yaroslav Ganin
Tejas D. Kulkarni
Igor Babuschkin
A. Eslami
Oriol Vinyals
GAN
10
229
0
03 Apr 2018
Learning to superoptimize programs - Workshop Version
Learning to superoptimize programs - Workshop Version
Rudy Bunel
Alban Desmaison
M. P. Kumar
Philip H. S. Torr
Pushmeet Kohli
14
10
0
04 Dec 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
170
3,260
0
09 Jun 2012
1