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2020 – today
- 2024
[j2]Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz:
CCN+: A neuro-symbolic framework for deep learning with requirements. Int. J. Approx. Reason. 171: 109124 (2024)- [c6]Mihaela C. Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia:
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. ICLR 2024 - [c5]Mihaela C. Stoian:
Deep Learning with Requirements in the Real World. IJCAI 2024: 8508-8509 - [c4]Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia:
PiShield: A PyTorch Package for Learning with Requirements. IJCAI 2024: 8805-8809 - [i8]Mihaela Catalina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia:
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. CoRR abs/2402.04823 (2024) - [i7]Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz:
Exploiting T-norms for Deep Learning in Autonomous Driving. CoRR abs/2402.11362 (2024) - [i6]Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia:
PiShield: A NeSy Framework for Learning with Requirements. CoRR abs/2402.18285 (2024) - [i5]Salijona Dyrmishi, Mihaela Catalina Stoian, Eleonora Giunchiglia, Maxime Cordy:
Deep generative models as an adversarial attack strategy for tabular machine learning. CoRR abs/2409.12642 (2024) - 2023
- [j1]Eleonora Giunchiglia
, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112(9): 3261-3291 (2023) - [c3]Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz:
Exploiting T-norms for Deep Learning in Autonomous Driving. NeSy 2023: 369-380 - 2022
- [c2]Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz:
Deep Learning with Logical Constraints. IJCAI 2022: 5478-5485 - [i4]Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz:
Deep Learning with Logical Constraints. CoRR abs/2205.00523 (2022) - [i3]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR abs/2210.01597 (2022) - 2021
- [i2]Mihaela Catalina Stoian, Tommaso Cavallari:
Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds. CoRR abs/2106.16129 (2021) - 2020
- [c1]Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater:
Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation. ICASSP 2020: 7909-7913
2010 – 2019
- 2019
- [i1]Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater:
Analyzing ASR pretraining for low-resource speech-to-text translation. CoRR abs/1910.10762 (2019)
Coauthor Index
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