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Improving predictions of Bayesian neural nets via local linearization
19 August 2020
Alexander Immer
M. Korzepa
Matthias Bauer
BDL
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Papers citing
"Improving predictions of Bayesian neural nets via local linearization"
7 / 7 papers shown
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
454
7
0
07 Jun 2024
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner
Zonghao Chen
Yee Whye Teh
Y. Gal
356
60
0
28 Dec 2023
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?
Michael L. Potter
Miru D. Jun
165
1
0
16 Dec 2023
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
Emilia Magnani
Nicholas Kramer
Runa Eschenhagen
Lorenzo Rosasco
Philipp Hennig
UQCV
BDL
266
22
0
02 Aug 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
Journal of machine learning research (JMLR), 2022
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
546
55
0
17 Mar 2022
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCV
BDL
222
29
0
05 Nov 2021
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
342
60
0
03 Sep 2020
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