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Do Bayesian Neural Networks Improve Weapon System Predictive
  Maintenance?
v1v2 (latest)

Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?

16 December 2023
Michael L. Potter
Miru D. Jun
ArXiv (abs)PDFHTML

Papers citing "Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?"

11 / 11 papers shown
Title
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural
  Network
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network
Michael Potter
Benny Cheng
OOD
33
3
0
04 Jan 2023
Laplace Redux -- Effortless Bayesian Deep Learning
Laplace Redux -- Effortless Bayesian Deep Learning
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDLUQCV
218
315
0
28 Jun 2021
Tabular Data: Deep Learning is Not All You Need
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv
Amitai Armon
LMTD
159
1,269
0
06 Jun 2021
Improving predictions of Bayesian neural nets via local linearization
Improving predictions of Bayesian neural nets via local linearization
Alexander Immer
M. Korzepa
Matthias Bauer
BDL
45
11
0
19 Aug 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDLUQCV
86
287
0
24 Feb 2020
Composable Effects for Flexible and Accelerated Probabilistic
  Programming in NumPyro
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan
Neeraj Pradhan
M. Jankowiak
58
358
0
24 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
OpenML-Python: an extensible Python API for OpenML
OpenML-Python: an extensible Python API for OpenML
Matthias Feurer
Jan N. van Rijn
Arlind Kadra
Pieter Gijsbers
Neeratyoy Mallik
Sahithya Ravi
Andreas Müller
Joaquin Vanschoren
Frank Hutter
ELMGP
71
90
0
06 Nov 2019
Pyro: Deep Universal Probabilistic Programming
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDLGP
157
1,054
0
18 Oct 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
165
4,304
0
18 Nov 2011
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