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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

21 October 2019
Eyke Hüllermeier
Willem Waegeman
    PER
    UD
ArXivPDFHTML

Papers citing "Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods"

50 / 550 papers shown
Title
A Mapping of Assurance Techniques for Learning Enabled Autonomous
  Systems to the Systems Engineering Lifecycle
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle
Christian Ellis
Maggie B. Wigness
L. Fiondella
32
1
0
30 Dec 2022
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
Alireza Javanmardi
Eyke Hüllermeier
16
6
0
30 Dec 2022
Uncertainty-Aware Performance Prediction for Highly Configurable
  Software Systems via Bayesian Neural Networks
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks
Huong Ha
Zongwen Fan
Hongyu Zhang
BDL
11
0
0
27 Dec 2022
Improving Uncertainty Quantification of Variance Networks by
  Tree-Structured Learning
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning
Wenxuan Ma
Xing Yan
Kun Zhang
UQCV
23
0
0
24 Dec 2022
Scalable Bayesian Uncertainty Quantification for Neural Network
  Potentials: Promise and Pitfalls
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls
Stephan Thaler
Gregor Doehner
Julija Zavadlav
35
21
0
15 Dec 2022
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Maohao Shen
Yuheng Bu
P. Sattigeri
S. Ghosh
Subhro Das
G. Wornell
UQCV
OOD
BDL
13
31
0
14 Dec 2022
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture
  of Stochastic Experts
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
19
5
0
14 Dec 2022
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
17
11
0
14 Dec 2022
Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
26
2
0
12 Dec 2022
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian
  Mixture Models
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models
Hu Fang
Timo Gerkmann
UQCV
11
3
0
09 Dec 2022
State Space Closure: Revisiting Endless Online Level Generation via
  Reinforcement Learning
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning
Ziqi Wang
Tianye Shu
Jialin Liu
OffRL
15
1
0
06 Dec 2022
Bayesian Physics Informed Neural Networks for Data Assimilation and
  Spatio-Temporal Modelling of Wildfires
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
J. Dabrowski
D. Pagendam
J. Hilton
Conrad Sanderson
Dan MacKinlay
C. Huston
Andrew Bolt
Petra Kuhnert
PINN
30
17
0
02 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
32
63
0
30 Nov 2022
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction
  for Uncertainty Quantification
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification
Xing Yan
Yonghua Su
Wenxuan Ma
UQCV
35
1
0
26 Nov 2022
Estimating Regression Predictive Distributions with Sample Networks
Estimating Regression Predictive Distributions with Sample Networks
Ali Harakeh
Jordan S. K. Hu
Naiqing Guan
Steven L. Waslander
Liam Paull
BDL
UQCV
22
4
0
24 Nov 2022
Exploring through Random Curiosity with General Value Functions
Exploring through Random Curiosity with General Value Functions
Aditya A. Ramesh
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
27
9
0
18 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition
Introduction and Exemplars of Uncertainty Decomposition
Shuo Chen
UD
UQCV
PER
30
0
0
17 Nov 2022
General Intelligence Requires Rethinking Exploration
General Intelligence Requires Rethinking Exploration
Minqi Jiang
Tim Rocktaschel
Edward Grefenstette
LRM
29
17
0
15 Nov 2022
What Images are More Memorable to Machines?
What Images are More Memorable to Machines?
Junlin Han
Huangying Zhan
Jie Hong
Pengfei Fang
Hongdong Li
L. Petersson
Ian Reid
30
3
0
14 Nov 2022
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in
  Face Recognition
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti
Stéphan Clémençon
UQCV
14
3
0
14 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical
  Generative Models
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models
Kumud Lakara
Matias Valdenegro-Toro
UQCV
OOD
30
1
0
11 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
27
12
0
09 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
24
19
0
08 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
26
23
0
08 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions
Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser
Christoph Kern
David Rügamer
FaML
16
5
0
04 Nov 2022
A view on model misspecification in uncertainty quantification
A view on model misspecification in uncertainty quantification
Yuko Kato
David Tax
Marco Loog
28
3
0
30 Oct 2022
Context-empowered Visual Attention Prediction in Pedestrian Scenarios
Context-empowered Visual Attention Prediction in Pedestrian Scenarios
Igor Vozniak
Philipp Mueller
Lorena Hell
Nils Lipp
Ahmed Abouelazm
Christian Mueller
15
2
0
30 Oct 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and Sequences
Lei Wang
Piotr Koniusz
11
33
0
30 Oct 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques,
  Experimental Comparison and Guidelines towards Their Actionability
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
37
1
0
28 Oct 2022
Combined Data and Deep Learning Model Uncertainties: An Application to
  the Measurement of Solid Fuel Regression Rate
Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate
G. Georgalis
Kolos Retfalvi
P. DesJardin
A. Patra
UQCV
11
2
0
25 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
16
56
0
24 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
59
4
0
21 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
187
22
0
20 Oct 2022
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
Jiayun Luo
Boyang Albert Li
Cyril Leung
53
11
0
20 Oct 2022
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian
  Processes for Active Learning
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel
Nipun Batra
Kevin P. Murphy
UD
PER
UQCV
29
1
0
20 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement
  Learning
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
P. Becker
Gerhard Neumann
22
9
0
17 Oct 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and
  Hard Knowledge Constraints
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang
Yutian Pang
Yongming Liu
Hao Yan
BDL
UQCV
26
15
0
16 Oct 2022
Meta-Uncertainty in Bayesian Model Comparison
Meta-Uncertainty in Bayesian Model Comparison
Marvin Schmitt
Stefan T. Radev
Paul-Christian Bürkner
UD
22
10
0
13 Oct 2022
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in
  Wireless Sensing
Quantifying Uncertainty with Probabilistic Machine Learning Modeling in Wireless Sensing
Amit Kachroo
Sai Prashanth Chinnapalli
18
0
0
12 Oct 2022
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic
  Dynamical Models with Epistemic Uncertainty
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
24
26
0
12 Oct 2022
Addressing contingency in algorithmic (mis)information classification:
  Toward a responsible machine learning agenda
Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda
Andrés Domínguez Hernández
Richard Owen
Dan Saattrup Nielsen
Ryan McConville
20
7
0
05 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
29
77
0
05 Oct 2022
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction
  with Uncertainty
Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty
Stephen R. Brown
W. Rodi
Marco Seracini
Chengxi Gu
Michael Fehler
J. Faulds
Connor M. Smith
S. Treitel
21
0
0
30 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability
  of numerical and machine learning models
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
Marouane Il Idrissi
Nicolas Bousquet
Fabrice Gamboa
Bertrand Iooss
Jean-Michel Loubes
35
2
0
23 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic
  Neural Network
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
T. Kanazawa
Chetan Gupta
UQCV
30
4
0
17 Sep 2022
A review of predictive uncertainty estimation with machine learning
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis
Georgia Papacharalampous
UD
UQCV
53
43
0
17 Sep 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving
Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su
Yiming Li
Sihong He
Songyang Han
Chen Feng
Caiwen Ding
Fei Miao
47
53
0
16 Sep 2022
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are
  Conditional Entropy and Mutual Information Appropriate Measures?
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
Lisa Wimmer
Yusuf Sale
Paul Hofman
Bern Bischl
Eyke Hüllermeier
PER
UD
34
64
0
07 Sep 2022
Evaluating Machine Unlearning via Epistemic Uncertainty
Evaluating Machine Unlearning via Epistemic Uncertainty
Alexander Becker
Thomas Liebig
UD
ELM
MU
25
33
0
23 Aug 2022
Some Supervision Required: Incorporating Oracle Policies in
  Reinforcement Learning via Epistemic Uncertainty Metrics
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics
Jun Jet Tai
Jordan Terry
M. Innocente
J. Brusey
N. Horri
19
1
0
22 Aug 2022
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