Bias and Priors in Machine Learning Calibrations for High Energy Physics

10 May 2022

Papers citing "Bias and Priors in Machine Learning Calibrations for High Energy Physics"

4 / 4 papers shown

Title
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data Hengrui Zhang Wei Chen J. Rondinelli Wei Chen AI4CE 19 17 0 15 Nov 2022
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zhe Zhang 41 46 0 27 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 113 76 0 21 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 35 33 0 18 Jan 2021