Rule-adhering synthetic data - the lingua franca of learning. - Michael Platzer; Ivona Krchova (CoRR, 2022)

Strong statistical parity through fair synthetic data. - Ivona Krchova; Michael Platzer; Paul Tiwald (CoRR, 2023)

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data. - Paul Tiwald; Ivona Krchova; Andrey Sidorenko; Mariana Vargas Vieyra; Mario Scriminaci; Michael Platzer (CoRR, 2025)

Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling. - Ivona Krchova; Michael Platzer; Paul Tiwald (CoRR, 2025)