38 citations · 43 across the 7 of their papers we have counts for
4 papers · 1 filter
Setting the Scale Using Baryon Masses with Isospin-Breaking Corrections
Alexander M. Segner, Andrew D. Hanlon, Andreas Risch +1
We present the status of an ongoing project aimed at the inclusion of isospin-breaking corrections arising from the non-degeneracy of the light quark masses and electromagnetic int…
Fair Interpretable Representation Learning with Correction Vectors
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel +3
Neural network architectures have been extensively employed in the fair representation learning setting, where the objective is to learn a new representation for a given vector whi…
Fair Interpretable Learning via Correction Vectors
Mattia Cerrato, Marius Köppel, Alexander Segner +1
Neural network architectures have been extensively employed in the fair representation learning setting, where the objective is to learn a new representation for a given vector whi…
Fair Group-Shared Representations with Normalizing Flows
Mattia Cerrato, Marius Köppel, Alexander Segner +1
The issue of fairness in machine learning stems from the fact that historical data often displays biases against specific groups of people which have been underprivileged in the re…