Mihaela Catalina Stoian

According to our database, Mihaela Catalina Stoian authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond.

Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz

CoRR, March, 2025

Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints.

Mihaela C. Stoian, Eleonora Giunchiglia

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

ROAD-Waymo: Action Awareness at Scale for Autonomous Driving.

Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh, Mihaela C. Stoian, Eleonora Giunchiglia, Gurkirt Singh, Andrew Bradley, Fabio Cuzzolin

CoRR, 2024

PiShield: A NeSy Framework for Learning with Requirements.

Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia

CoRR, 2024

PiShield: A PyTorch Package for Learning with Requirements.

Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Learning with Requirements in the Real World.

Mihaela C. Stoian

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Generative Models as an Adversarial Attack Strategy for Tabular Machine Learning.

Salijona Dyrmishi, Mihaela Catalina Stoian, Eleonora Giunchiglia, Maxime Cordy

Proceedings of the International Conference on Machine Learning and Cybernetics, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ROAD-R: the autonomous driving dataset with logical requirements.

Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz

Mach. Learn., September, 2023

Exploiting T-norms for Deep Learning in Autonomous Driving.

Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022

Deep Learning with Logical Constraints.

Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds.

Mihaela Catalina Stoian, Tommaso Cavallari

CoRR, 2021

2020

Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation.

Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020