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cs.LG2025
Aligning the Evaluation of Probabilistic Predictions with Downstream Value
Novin Shahroudi, Viacheslav Komisarenko, Meelis Kull
Every prediction is ultimately used in a downstream task. Consequently, evaluating prediction quality is more meaningful when considered in the context of its downstream use. Metri…
cs.LG2025
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
Joonas Järve, Karl Kaspar Haavel, Meelis Kull
Despite rapid advances in AI, safety remains the main bottleneck to deploying machine-learning systems. A critical safety component is out-of-distribution detection: given an input…