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Muhammad Mubashar

2 accepted papers

2025

A Unified Evaluation Framework for Epistemic Predictions

AISTATS 2025poster

Predictions of uncertainty-aware models are diverse, ranging from single point estimates (often averaged over prediction samples) to predictive distributions, to set-valued or credal-set representations. We propose a novel unified evaluation framework for uncertainty-aware classifiers, applicable to…

Cited by 0SourceScholar
2025

Random-Set Neural Networks

ICLR 2025poster

Machine learning is increasingly deployed in safety-critical domains where erroneous predictions may lead to potentially catastrophic consequences, highlighting the need for learning systems to be aware of how confident they are in their own predictions: in other words, 'to know when they do not kno…

Cited by 1SourcePDFScholar