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Predicting the impact of treatments over time with uncertainty aware
  neural differential equations

Predicting the impact of treatments over time with uncertainty aware neural differential equations

24 February 2022
E. Brouwer
J. Hernández
Stephanie L. Hyland
    OOD
    CML
ArXivPDFHTML

Papers citing "Predicting the impact of treatments over time with uncertainty aware neural differential equations"

4 / 4 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
98
0
0
04 May 2025
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network
Yang Sun
Yifan Xie
BDL
CML
31
1
0
28 Jan 2023
Learning predictive checklists from continuous medical data
Learning predictive checklists from continuous medical data
Yukti Makhija
E. Brouwer
Rahul G. Krishnan
17
1
0
14 Nov 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
1