12 citations · 14 across the 7 of their papers we have counts for
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cs.LG2026
Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification
Nina Maria Gottschling, Jakob Gawlikowski, Michele Caprio
Data-driven approaches often face ambiguity in datasets due to sensor or target noise, insufficient information, and noise in the input data. While best-fit machine learning method…
cs.LG2020★ 12 cited
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems
Nina M. Gottschling, Vegard Antun, Anders C. Hansen +1
Methods inspired by Artificial Intelligence (AI) are starting to fundamentally change computational science and engineering through breakthrough performances on challenging problem…