most citedA Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond

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A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond

Mihaela Cătălina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz

Generative modelling has become the standard approach for synthesising tabular data. However, different use cases demand synthetic data to comply with different requirements to be…

cs.LG2024

PiShield: A PyTorch Package for Learning with Requirements

Mihaela Cătălina Stoian, Alex Tatomir, Thomas Lukasiewicz +1

Deep learning models have shown their strengths in various application domains, however, they often struggle to meet safety requirements for their outputs. In this paper, we introd…