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Improving predictions of Bayesian neural nets via local linearization

Improving predictions of Bayesian neural nets via local linearization

19 August 2020
Alexander Immer
M. Korzepa
Matthias Bauer
    BDL
ArXivPDFHTML

Papers citing "Improving predictions of Bayesian neural nets via local linearization"

4 / 4 papers shown
Title
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
66
1
0
07 Jun 2024
Approximate Bayesian Neural Operators: Uncertainty Quantification for
  Parametric PDEs
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
Emilia Magnani
Nicholas Kramer
Runa Eschenhagen
Lorenzo Rosasco
Philipp Hennig
UQCV
BDL
15
9
0
02 Aug 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1