Eleonora Giunchiglia

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Autonomous Driving

Hierarchical Multi Label Classification

Top Venues

Int. J. Approx. Reason.

Publications

Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz
CCN+: A neuro-symbolic framework for deep learning with requirements. Int. J. Approx. Reason. 171 (2024)
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
ULLER: A Unified Language for Learning and Reasoning. CoRR (2024)
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 (2024)
Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
PiShield: A NeSy Framework for Learning with Requirements. CoRR (2024)
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)
Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
Exploiting T-norms for Deep Learning in Autonomous Driving. CoRR (2024)
Yashovardhan Sharma, Eleonora Giunchiglia, Simon Birnbach, Ivan Martinovic
To TTP or not to TTP?: Exploiting TTPs to Improve ML-based Malware Detection. CSR (2023)
Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
Machine Learning with Requirements: a Manifesto. CoRR (2023)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112 (9) (2023)
Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
Exploiting T-norms for Deep Learning in Autonomous Driving. NeSy (2023)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR (2022)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
Deep Learning with Logical Constraints. CoRR (2022)
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
Deep Learning with Logical Constraints. IJCAI (2022)
Eleonora Giunchiglia, Thomas Lukasiewicz
Multi-Label Classification Neural Networks with Hard Logical Constraints. J. Artif. Intell. Res. 72 (2021)
Eleonora Giunchiglia, Thomas Lukasiewicz
Multi-Label Classification Neural Networks with Hard Logical Constraints. CoRR (2021)
Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang
Lightweight Visual Question Answering using Scene Graphs. CIKM (2021)
Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
Knowledge Graph Extraction from Videos. ICMLA (2020)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR (2020)
Eleonora Giunchiglia, Thomas Lukasiewicz
Coherent Hierarchical Multi-Label Classification Networks. CoRR (2020)
Eleonora Giunchiglia, Thomas Lukasiewicz
Coherent Hierarchical Multi-Label Classification Networks. NeurIPS (2020)
Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
Knowledge Graph Extraction from Videos. CoRR (2020)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR (2019)
Eleonora Giunchiglia, Michele Colledanchise, Lorenzo Natale, Armando Tacchella
Conditional Behavior Trees: Definition, Executability, and Applications. SMC (2019)
Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar
RNN-SURV: A Deep Recurrent Model for Survival Analysis. ICANN (3) (2018)