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Differential Bayesian Neural Nets
v1v2 (latest)

Differential Bayesian Neural Nets

2 December 2019
Andreas Look
M. Kandemir
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "Differential Bayesian Neural Nets"

5 / 5 papers shown
Title
Deep learning with differential Gaussian process flows
Deep learning with differential Gaussian process flows
Pashupati Hegde
Markus Heinonen
Harri Lähdesmäki
Samuel Kaski
BDL
63
42
0
09 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
429
5,156
0
19 Jun 2018
Black-box Variational Inference for Stochastic Differential Equations
Black-box Variational Inference for Stochastic Differential Equations
Tom Ryder
Andrew Golightly
A. Mcgough
D. Prangle
69
58
0
09 Feb 2018
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
UQCVBDL
836
9,346
0
06 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCVBDL
139
945
0
18 Feb 2015
1