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Mihaela Catalina Stoian
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Year
Analyzing ASR pretraining for low-resource speech-to-text translation
MC Stoian, S Bansal, S Goldwater
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
672020
Deep Learning with Logical Constraints
E Giunchiglia, MC Stoian, T Lukasiewicz
arXiv preprint arXiv:2205.00523, 2022
522022
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
E Giunchiglia, MC Stoian, S Khan, F Cuzzolin, T Lukasiewicz
30*2022
CCN+: A Neuro-symbolic Framework for Deep Learning with Requirements
E Giunchiglia, A Tatomir, MC Stoian, T Lukasiewicz
International Journal of Approximate Reasoning, 109124, 2024
42024
Exploiting T-norms for Deep Learning in Autonomous Driving
MC Stoian, E Giunchiglia, T Lukasiewicz
Proceedings of the International Workshop on Neural-Symbolic Learning and …, 2023
32023
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
MC Stoian, S Dyrmishi, M Cordy, T Lukasiewicz, E Giunchiglia
arXiv e-prints; Accepted at ICLR 2024, arXiv: 2402.04823, 2024
12024
PiShield: A NeSy Framework for Learning with Requirements
MC Stoian, A Tatomir, T Lukasiewicz, E Giunchiglia
arXiv preprint arXiv:2402.18285, 2024
2024
Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds
MC Stoian, T Cavallari
arXiv preprint arXiv:2106.16129, 2021
2021
Deep Learning with Requirements
E Giunchiglia, MC Stoian, T Lukasiewicz
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Articles 1–9