arXiv Machine Learning June 11, 2026 By Yusuf Sale, Christopher B\"ulte, Felix Czaja, Joshua Stiller, Eyke H\"ullermeier

What Uncertainties Do We Need for Dynamical Systems?

Read the original on arXiv Machine Learning →

arXiv:2606. 11988v1 Announce Type: new Abstract: The distinction between aleatoric and epistemic uncertainty has received considerable attention in machine learning research, mainly in the context of supervised learning but also in other settings such as generative modeling.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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