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20202026
most citedThe troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems

12 citations · 14 across the 7 of their papers we have counts for

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stat.ML2026

On Hallucinations in Inverse Problems: Fundamental Limits and Provable Assessment Methods

David Iagaru, Nina M. Gottschling, Anders C. Hansen +1

Artificial intelligence (AI) has transformed imaging inverse problems, from medical diagnostics to Earth observation. Yet deep neural networks can produce hallucinations, realistic…