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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
Julia A. Schnabel
Ben Glocker
BDL
OOD
UQCV
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Papers citing
"Is MC Dropout Bayesian?"
8 / 8 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
96
1
0
25 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
74
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
48
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
33
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
47
1
0
05 Jul 2023
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
Hampus Linander
BDL
UQCV
34
5
0
15 Dec 2022
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing
Georgios Rizos
J. Lawson
Simon Mitchell
Pranay Shah
Xin Wen
Cristina Banks‐Leite
R. Ewers
Bjoern W. Schuller
UQCV
20
2
0
19 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1