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Variational autoencoder (VAE) is a very popular and well-investigated generative model in neural learning research.
Block Matching : A General Framework to Improve Robustness of Rigid Registration of Medical Images
Sébastien Ourselin, A Roche, S Prima, and Nicholas Ayache · 2000
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Symplectic integration of hamiltonian systems with additive noise
G. N. Milstein, Yu. M. Repin, and M. V. Tretyakov · 2002
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Quasi-symplectic methods for langevin-type equations
G. Milstein · 2003
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Conditional path sampling of sdes and the langevin mcmc method
Andrew M. Stuart, Jochen Voss, and Petter Wilberg · 2004
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Integrable almost-symplectic hamiltonian systems
Francesco Fassò and Nicola Sansonetto · 2007
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MedINRIA: Medical Image Navigation and Research Tool by INRIA
Nicolas Toussaint, Jean-Christophe Souplet, and Pierre Fillard · 2007
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Riemann manifold langevin and hamiltonian monte carlo methods
Mark Girolami and Ben Calderhead · 2010
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Mnist handwritten digit database
Yann LeCun, Corinna Cortes, and CJ Burges · 2010
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Bayesian learning via stochastic gradient langevin dynamics
Max Welling and Yee Whye Teh · 2011
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Information-geometric markov chain monte carlo methods using diffusions
Samuel Livingstone and Mark A. Girolami · 2014
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Black box variational inference
R. Ranganath, Sean Gerrish, and D. Blei · 2014
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Variational inference with normalizing flows
Danilo Rezende and Shakir Mohamed · 2015
Cited alongside, same era.
Markov chain monte carlo and variational inference: Bridging the gap
Tim Salimans, Diederik Kingma, and Max Welling · 2015
Cited alongside, same era.
Variational inference: A review for statisticians
David M. Blei, Alp Kucukelbir, and Jon D. McAuliffe · 2017
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Pros and cons of gan evaluation measures
Ali Borji · 2018
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Hamiltonian variational auto-encoder
Anthony L. Caterini, Arnaud Doucet, and Dino Sejdinovic · 2018
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Dynamical sampling with langevin normalization flows
Minghao Gu, Shiliang Sun, and Yan Liu · 2019
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Normalizing flows for probabilistic modeling and inference
George Papamakarios, Eric T. Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, and Balaji Lakshminarayanan · 2019
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Generalized langevin equation
Tomovski Ž. Sandev T · 2019
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Variational inference with hamiltonian monte carlo, 2016
Christopher Wolf, Maximilian Karl, and Patrick van der Smagt · 2016
Cited alongside, same era.
Geometry and dynamics for markov chain monte carlo
Alessandro Barp, Francois-Xavier Briol, Anthony Kennedy, and Mark Girolami · 2017
Cited alongside, same era.
Normalizing flows: An introduction and review of current methods
I. Kobyzev, S. Prince, and M. Brubaker · 2020
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High-order langevin diffusion yields an accelerated mcmc algorithm
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, and Michael I. Jordan · 2021
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