Platzer, Michael

1. TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
   2025/01/21 by Tiwald, Paul, Krchova, Ivona, Sidorenko, Andrey +3 · 8 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Strong statistical parity through fair synthetic data
   2023/11/06 by Krchova, Ivona, Platzer, Michael, Tiwald, Paul · 2 citations
   #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data
   2021/04/01 by Michael Platzer, Platzer, Michael, Thomas Reutterer +1 · 1 citation
   Computer Science · Social Sciences · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
4. Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
   2025/04/02 by Sidorenko, Andrey, Platzer, Michael, Scriminaci, Mario +1 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)