A Cautionary Tale of Decorrelating Theory Uncertainties

16 September 2021

Papers citing "A Cautionary Tale of Decorrelating Theory Uncertainties"

7 / 7 papers shown

Title
FAIR Universe HiggsML Uncertainty Challenge Competition W. Bhimji P. Calafiura Ragansu Chakkappai Yuan-Tang Chou S. Diefenbacher ... D. Rousseau Benjamin Sluijter Benjamin Thorne Ihsan Ullah Yulei Zhang 34 2 0 03 Oct 2024
New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences Umberto Michelucci F. Venturini 18 4 0 30 Sep 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 27 7 0 05 Aug 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics Rikab Gambhir Benjamin Nachman Jesse Thaler AI4CE 20 7 0 10 May 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 33 113 0 07 Dec 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 14 35 0 11 Nov 2021
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 175 2,577 0 28 Mar 2008