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From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

8 January 2025
Tianyang Wang
Longji Xu
Jun Zhou
Benji Peng
Xinyuan Song
Chenyi Zhang
Suhua Wang
Qian Niu
Junyu Liu
Tian Jin
Keyu Chen
Ming Li
Pohsun Feng
Ziqian Bi
Ming Liu
Yujiao Shi
Cheng Fei
Caitlyn Heqi Yin
Lawrence K. Q. Yan
    UD
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Papers citing "From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence"

4 / 4 papers shown
Title
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk
Karianne J. Bergen
44
0
0
06 Oct 2025
Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
Revealing Hidden Precursors to Earthquakes via a Stress-Sensitive Transformation of Seismic Noise
Nader Shakibay Senobari
32
0
0
29 Aug 2025
Safe Uncertainty-Aware Learning of Robotic Suturing
Safe Uncertainty-Aware Learning of Robotic Suturing
Wilbert Peter Empleo
Yitaek Kim
Hansoul Kim
Thiusius Rajeeth Savarimuthu
Iñigo Iturrate
168
1
0
22 May 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Epistemic Uncertainty in Conformal Scores: A Unified ApproachConference on Uncertainty in Artificial Intelligence (UAI), 2025
Luben M. C. Cabezas
Vagner S. Santos
Thiago Rodrigo Ramos
Rafael Izbicki
639
4
0
10 Feb 2025
1