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David Sutton

2 accepted papers

2026

DMAP: A Distribution Map for Text

ICLR 2026poster

Large Language Models (LLMs) are a powerful tool for statistical text analysis, with derived sequences of next-token probability distributions offering a wealth of information. Extracting this signal typically relies on metrics such as perplexity, which do not adequately account for context; how one…

Cited by 0SourceScholar
2022

Attribution of predictive uncertainties in classification models

UAI 2022poster

Predictive uncertainties in classification tasks are often a consequence of model inadequacy or insufficient training data. In popular applications, such as image processing, we are often required to scrutinise these uncertainties by meaningfully attributing them to input features. This helps to imp…