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Uncertainty estimation via ensembles of deep learning models and dropout
  layers for seismic traces

Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces

8 October 2024
Giovanni Messuti
ortensia Amoroso
Ferdinando Napolitano
Mariarosaria Falanga
Paolo Capuano
Silvia Scarpetta
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces"

4 / 4 papers shown
Title
Label Noise Types and Their Effects on Deep Learning
Label Noise Types and Their Effects on Deep Learning
G. Algan
ilkay Ulusoy
NoLa
75
53
0
23 Mar 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PERUD
249
1,427
0
21 Oct 2019
Why ReLU networks yield high-confidence predictions far away from the
  training data and how to mitigate the problem
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
172
559
0
13 Dec 2018
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
1