Giunchiglia, Eleonora

9 publications

TMLR 2026 A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz

ICLR 2025 Beyond the Convexity Assumption: Realistic Tabular Data Generation Under Quantifier-Free Real Linear Constraints Mihaela C. Stoian, Eleonora Giunchiglia

NeurIPS 2025 Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI Luca Andolfi, Eleonora Giunchiglia

ICLR 2024 How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data Mihaela C Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia

IJCAI 2024 PiShield: A PyTorch Package for Learning with Requirements Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia

MLJ 2023 ROAD-R: The Autonomous Driving Dataset with Logical Requirements Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz

IJCAI 2022 Deep Learning with Logical Constraints Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz

JAIR 2021 Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia, Thomas Lukasiewicz

NeurIPS 2020 Coherent Hierarchical Multi-Label Classification Networks Eleonora Giunchiglia, Thomas Lukasiewicz