Fair Interpretable Representation Learning with Correction Vectors. - Mattia Cerrato; Alesia Vallenas Coronel; Marius Köppel; Alexander Segner; Roberto Esposito; Stefan Kramer 001 (CoRR, 2022)

The Case for Correctability in Fair Machine Learning. - Mattia Cerrato; Alesia Vallenas Coronel; Marius Köppel (EWAF, 2023)

Trust in Fair Algorithms: Pilot Experiment. - Mattia Cerrato; Marius Köppel; Kiara Stempel; Alesia Vallenas Coronel; Niklas Witzig (EWAF, 2024)