Beyond Predictive Uncertainty: Reliable Representation Learning with Structural Constraints

arXiv:2601.16174v3 Announce Type: replace-cross Abstract: Uncertainty estimation in machine learning has traditionally focused on the prediction stage, aiming to quantify confidence in model outputs while treating learned representations as deterministic and reliable by defaul...

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