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Looking at the posterior: accuracy and uncertainty of neural-network
  predictions

Looking at the posterior: accuracy and uncertainty of neural-network predictions

26 November 2022
H. Linander
Oleksandr Balabanov
Henry Yang
Bernhard Mehlig
    UQCV
    UD
    BDL
ArXivPDFHTML

Papers citing "Looking at the posterior: accuracy and uncertainty of neural-network predictions"

4 / 4 papers shown
Title
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image
  Classification
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification
Joshua Niemeijer
J. Ehrhardt
H. Uzunova
Heinz Handels
OOD
DiffM
MedIm
18
0
0
25 Jun 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Oleksandr Balabanov
H. Linander
UQCV
22
13
0
19 Feb 2024
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
183
156
0
14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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