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2110.04286
Cited By
Is MC Dropout Bayesian?
8 October 2021
Loic Le Folgoc
V. Baltatzis
S. Desai
A. Devaraj
S. Ellis
O. M. Manzanera
A. Nair
Huaqi Qiu
J. Schnabel
Ben Glocker
BDL
OOD
UQCV
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Papers citing
"Is MC Dropout Bayesian?"
7 / 7 papers shown
Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
S. Adiga
Ravi Tandon
69
0
0
18 Nov 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Yidong Zhao
João Tourais
Iain Pierce
Christian Nitsche
T. Treibel
Sebastian Weingartner
Artur M. Schweidtmann
Qian Tao
BDL
UQCV
43
5
0
04 Mar 2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Sunwoong Yang
Hojin Kim
Y. Hong
K. Yee
R. Maulik
Namwoo Kang
PINN
AI4CE
26
17
0
05 Jan 2024
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
S. Goldenberg
M. Schram
Kishansingh Rajput
T. Britton
C. Pappas
Dawei Lu
Jared Walden
M. Radaideh
Sarah Cousineau
S. Harave
34
1
0
05 Jul 2023
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1