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20142023
most citedEfficient prediction of grain boundary energies from atomistic simulations via sequential design

1 citations · 3 across the 9 of their papers we have counts for

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math.ST2020★ 1 cited

Adaptive spectral density estimation by model selection under local differential privacy

Martin Kroll

We study spectral density estimation under local differential privacy. Anonymization is achieved through truncation followed by Laplace perturbation. We select our estimator from a…