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Stochastic Neural Network with Kronecker Flow

Stochastic Neural Network with Kronecker Flow

10 June 2019
Chin-Wei Huang
Ahmed Touati
Pascal Vincent
Gintare Karolina Dziugaite
Alexandre Lacoste
Aaron Courville
    BDL
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Papers citing "Stochastic Neural Network with Kronecker Flow"

4 / 4 papers shown
Title
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex
  Convolutions
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
Eleonora Grassucci
Aston Zhang
Danilo Comminiello
20
38
0
08 Oct 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
18
87
0
17 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
137
453
0
03 Dec 2007
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