Mihaela Catalina Stoian

According to our database, Mihaela Catalina Stoian authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

PiShield: A NeSy Framework for Learning with Requirements.

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

CoRR, 2024

How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.

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

CoRR, 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