Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation. - Mihaela C. Stoian; Sameer Bansal; Sharon Goldwater (ICASSP, 2020)

Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds. - Mihaela Catalina Stoian; Tommaso Cavallari (CoRR, 2021)

Deep Learning with Logical Constraints. - Eleonora Giunchiglia; Mihaela Catalina Stoian; Thomas Lukasiewicz (IJCAI, 2022)

Exploiting T-norms for Deep Learning in Autonomous Driving. - Mihaela C. Stoian; Eleonora Giunchiglia; Thomas Lukasiewicz (NeSy, 2023)

ROAD-R: the autonomous driving dataset with logical requirements. - Eleonora Giunchiglia; Mihaela Catalina Stoian; Salman Khan 004; Fabio Cuzzolin; Thomas Lukasiewicz (Mach. Learn., 2023)

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

Deep Generative Models as an Adversarial Attack Strategy for Tabular Machine Learning. - Salijona Dyrmishi; Mihaela Catalina Stoian; Eleonora Giunchiglia; Maxime Cordy (ICMLC, 2024)

Deep Learning with Requirements in the Real World. - Mihaela C. Stoian (IJCAI, 2024)

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

PiShield: A NeSy Framework for Learning with Requirements. - Mihaela Catalina Stoian; Alex Tatomir; Thomas Lukasiewicz; Eleonora Giunchiglia (CoRR, 2024)

ROAD-Waymo: Action Awareness at Scale for Autonomous Driving. - Salman Khan 004; Izzeddin Teeti; Reza Javanmard Alitappeh; Mihaela C. Stoian; Eleonora Giunchiglia; Gurkirt Singh; Andrew Bradley; Fabio Cuzzolin (CoRR, 2024)

CCN+: A neuro-symbolic framework for deep learning with requirements. - Eleonora Giunchiglia; Alex Tatomir; Mihaela Catalina Stoian; Thomas Lukasiewicz (Int. J. Approx. Reason., 2024)

Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints. - Mihaela C. Stoian; Eleonora Giunchiglia (ICLR, 2025)

A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond. - Mihaela Catalina Stoian; Eleonora Giunchiglia; Thomas Lukasiewicz (CoRR, 2025)