Search Results - Giunchiglia, Eleonora

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  1. 1
    Multi-Label Classification Neural Networks with Hard Logical Constraints

    Multi-Label Classification Neural Networks with Hard Logical Constraints by Giunchiglia, Eleonora, Lukasiewicz, Thomas

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  2. 2
    CCN+: A neuro-symbolic framework for deep learning with requirements

    CCN+: A neuro-symbolic framework for deep learning with requirements by Giunchiglia, Eleonora, Tatomir, Alex, Stoian, Mihaela Cătălina, Lukasiewicz, Thomas

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  3. 3
    ROAD-R: the autonomous driving dataset with logical requirements

    ROAD-R: the autonomous driving dataset with logical requirements by Giunchiglia, Eleonora, Stoian, Mihaela Cătălina, Khan, Salman, Cuzzolin, Fabio, Lukasiewicz, Thomas

    Published in Machine learning
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  4. 4
    Conditional Behavior Trees: Definition, Executability, and Applications

    Conditional Behavior Trees: Definition, Executability, and Applications by Giunchiglia, Eleonora, Colledanchise, Michele, Natale, Lorenzo, Tacchella, Armando

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  5. 5
    Multi-Label Classification Neural Networks with Hard Logical Constraints

    Multi-Label Classification Neural Networks with Hard Logical Constraints by Giunchiglia, Eleonora, Lukasiewicz, Thomas

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  6. 6
    Deep Learning with Logical Constraints

    Deep Learning with Logical Constraints by Giunchiglia, Eleonora, Stoian, Mihaela Catalina, Lukasiewicz, Thomas

    Published in arXiv.org
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  7. 7
    Exploiting T-norms for Deep Learning in Autonomous Driving

    Exploiting T-norms for Deep Learning in Autonomous Driving by Stoian, Mihaela Cătălina, Giunchiglia, Eleonora, Lukasiewicz, Thomas

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  8. 8
    Coherent Hierarchical Multi-Label Classification Networks

    Coherent Hierarchical Multi-Label Classification Networks by Giunchiglia, Eleonora, Lukasiewicz, Thomas

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  9. 9
    ROAD-R: The Autonomous Driving Dataset with Logical Requirements

    ROAD-R: The Autonomous Driving Dataset with Logical Requirements by Giunchiglia, Eleonora, Stoian, Mihaela Cătălina, Khan, Salman, Cuzzolin, Fabio, Lukasiewicz, Thomas

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  10. 10
    Deep generative models as an adversarial attack strategy for tabular machine learning

    Deep generative models as an adversarial attack strategy for tabular machine learning by Dyrmishi, Salijona, Stoian, Mihaela Cătălina, Giunchiglia, Eleonora, Cordy, Maxime

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  11. 11
    ULLER: A Unified Language for Learning and Reasoning

    ULLER: A Unified Language for Learning and Reasoning by Emile van Krieken, Badreddine, Samy, Manhaeve, Robin, Giunchiglia, Eleonora

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  12. 12
    PiShield: A PyTorch Package for Learning with Requirements

    PiShield: A PyTorch Package for Learning with Requirements by Stoian, Mihaela Cătălina, Tatomir, Alex, Lukasiewicz, Thomas, Giunchiglia, Eleonora

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  13. 13
    Machine Learning with Requirements: a Manifesto

    Machine Learning with Requirements: a Manifesto by Giunchiglia, Eleonora, Imrie, Fergus, van der Schaar, Mihaela, Lukasiewicz, Thomas

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  14. 14
    How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data

    How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data by Stoian, Mihaela Cătălina, Dyrmishi, Salijona, Cordy, Maxime, Lukasiewicz, Thomas, Giunchiglia, Eleonora

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  15. 15
    ROAD-Waymo: Action Awareness at Scale for Autonomous Driving

    ROAD-Waymo: Action Awareness at Scale for Autonomous Driving by Khan, Salman, Teeti, Izzeddin, Reza Javanmard Alitappeh, Stoian, Mihaela C, Giunchiglia, Eleonora, Singh, Gurkirt, Bradley, Andrew, Cuzzolin, Fabio

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  16. 16
    Knowledge Graph Extraction from Videos

    Knowledge Graph Extraction from Videos by Mahon, Louis, Giunchiglia, Eleonora, Bowen, Li, Lukasiewicz, Thomas

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  17. 17
    The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets

    The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets by Oana-Maria Camburu, Giunchiglia, Eleonora, Foerster, Jakob, Lukasiewicz, Thomas, Blunsom, Phil

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  18. 18
    Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

    Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods by Oana-Maria Camburu, Giunchiglia, Eleonora, Foerster, Jakob, Lukasiewicz, Thomas, Blunsom, Phil

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  19. 19
    Engineering Multi-Agent Systems: State of Affairs and the Road Ahead

    Engineering Multi-Agent Systems: State of Affairs and the Road Ahead by Mascardi, Viviana, Weyns, Danny, Ricci, Alessandro, Earle, Clara Benac, Casals, Arthur, Challenger, Moharram, Chopra, Amit, Ciortea, Andrei, Dennis, Louise A., Díaz, Álvaro Fernández, El Fallah-Seghrouchni, Amal, Ferrando, Angelo, Fredlund, Lars-Åke, Giunchiglia, Eleonora, Guessoum, Zahia, Günay, Akin, Hindriks, Koen, Iglesias, Carlos A., Logan, Brian, Kampik, Timotheus, Kardas, Geylani, Koeman, Vincent J., Larsen, John Bruntse, Mayer, Simon, Méndez, Tasio, Nieves, Juan Carlos, Seidita, Valeria, Teze, Baris Tekin, Varga, László Z., Winikoff, Michael

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  20. 20
    Adverse childhood experiences and severity levels of inflammation and depression from childhood to young adulthood: a longitudinal cohort study

    Adverse childhood experiences and severity levels of inflammation and depression from childhood to young adulthood: a longitudinal cohort study by Iob, Eleonora, Lacey, Rebecca, Giunchiglia, Valentina, Steptoe, Andrew

    Published in Molecular psychiatry
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