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Variational Linearized Laplace Approximation for Bayesian Deep Learning

Variational Linearized Laplace Approximation for Bayesian Deep Learning

Luis A. Ortega
Simón Rodríguez Santana
Daniel Hernández-Lobato
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Papers citing "Variational Linearized Laplace Approximation for Bayesian Deep Learning"

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
55
1
0
07 Jun 2024
Function-space Parameterization of Neural Networks for Sequential Learning
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell
Riccardo Mereu
Paul E. Chang
Ella Tamir
J. Pajarinen
Arno Solin
BDL
21
5
0
16 Mar 2024
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Zhijie Deng
Feng Zhou
Jun Zhu
BDL
42
19
0
23 Oct 2022
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
46
21
0
20 Sep 2021