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Embedded-model flows: Combining the inductive biases of model-free deep
  learning and explicit probabilistic modeling
v1v2v3 (latest)

Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling

12 October 2021
Gianluigi Silvestri
Emily Fertig
David A. Moore
L. Ambrogioni
    BDLTPMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling"

2 / 2 papers shown
Title
Structured Stochastic Gradient MCMC
Structured Stochastic Gradient MCMC
Antonios Alexos
Alex Boyd
Stephan Mandt
BDL
62
13
0
19 Jul 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRLAI4CE
96
56
0
25 Feb 2021
1