Author

Georg Tirpitz

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Preprint Aug 2026

A Ground-Truth Framework for Uncertainty Disentanglement with Posterior Risk

Reliable uncertainty estimates are critical in safety-sensitive applications. For such estimates to be useful in practice, it is crucial to understand the sources underlying a model's uncertainty, motivating the disentanglement of total uncertainty into epistemic and aleatoric uncertainty. Existing notions of uncertain...

Frieder Wizgall, Georg Tirpitz, Moritz Seiler et al. · 2 citations

Preprint Aug 2026

A Unified Risk View of Uncertainty: Posterior Risk for Disentanglement and Evaluation Beyond Proxies

Reliable uncertainty estimates are critical in safety-sensitive applications, where understanding the sources of predictive uncertainty is essential. This often requires disentangling epistemic uncertainty from aleatoric uncertainty, yet these uncertainty types are not defined consistently across the literature, making...

Frieder Wizgall, Georg Tirpitz, Moritz Seiler et al. · 1 citation