Poster · Sydney

The Aleatoric-Epistemic Dichotomy of Uncertainty is Meaningful and Indispensable for Machine Learning

Name: The Aleatoric-Epistemic Dichotomy of Uncertainty is Meaningful and Indispensable for Machine Learning
Start: 2026-12-10T17:00:00+11:00
End: 2026-12-10T20:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Thu 10 Dec 2026, 17:00–20:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 6
Oral: Oral of this paper
Authors: Yusuf Sale, Nikita Kotelevskii, Maxim Panov, Eyke Hüllermeier
Organisations: Ludwig Maximilian University of Munich, Mohamed bin Zayed University of Artificial Intelligence, Marburguniversity

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