Eleonora Giunchiglia

39 papers A* 5A 2B 1C 3Misc 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond.
Trans. Mach. Learn. Res.
Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2026 J jnl
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models.
CoRR
Joshua Ong Jun Leang, Yu Zhao, Mihaela Catalina Stoian, Wenda Li, Shay B. Cohen, Eleonora Giunchiglia
2025 A conf
A Posteriori Verification or a Priori Design? Navigating Requirements-Driven Deep Learning.
ECAI
Eleonora Giunchiglia
2025 J jnl
A Survey on Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, and Beyond.
CoRR
Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2025 A* conf
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints.
ICLR
Mihaela C. Stoian, Eleonora Giunchiglia
2025 J jnl
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints.
CoRR
Mihaela Catalina Stoian, Eleonora Giunchiglia
2025 C ed.
Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 8-10 September 2025, Santa Cruz, CA, USA
NeSy
Leilani H. Gilpin, Eleonora Giunchiglia, Pascal Hitzler, Emile van Krieken
2025 J jnl
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI.
CoRR
Luca Andolfi, Eleonora Giunchiglia
2025 J jnl
TRIDENT: Temporally Restricted Inference via DFA-Enhanced Neural Traversal.
CoRR
Vincenzo Collura, Karim Tit, Laura Bussi, Eleonora Giunchiglia, Maxime Cordy
2024 J jnl
CCN+: A neuro-symbolic framework for deep learning with requirements.
Int. J. Approx. Reason.
Eleonora Giunchiglia, Alex Tatomir, Mihaela Catalina Stoian, Thomas Lukasiewicz
2024 Misc conf
Deep Generative Models as an Adversarial Attack Strategy for Tabular Machine Learning.
ICMLC
Salijona Dyrmishi, Mihaela Catalina Stoian, Eleonora Giunchiglia, Maxime Cordy
2024 J jnl
Deep generative models as an adversarial attack strategy for tabular machine learning.
CoRR
Salijona Dyrmishi, Mihaela Catalina Stoian, Eleonora Giunchiglia, Maxime Cordy
2024 J jnl
Exploiting T-norms for Deep Learning in Autonomous Driving.
CoRR
Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2024 A* conf
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.
ICLR
Mihaela C. Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
2024 J jnl
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data.
CoRR
Mihaela Catalina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
2024 J jnl
PiShield: A NeSy Framework for Learning with Requirements.
CoRR
Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
2024 A* conf
PiShield: A PyTorch Package for Learning with Requirements.
IJCAI
Mihaela C. Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia
2024 J jnl
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving.
CoRR
Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh, Mihaela C. Stoian, Eleonora Giunchiglia, Gurkirt Singh, Andrew Bradley, Fabio Cuzzolin
2024 — conf
ULLER: A Unified Language for Learning and Reasoning.
NeSy (1)
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2024 J jnl
ULLER: A Unified Language for Learning and Reasoning.
CoRR
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2023 C conf
Exploiting T-norms for Deep Learning in Autonomous Driving.
NeSy
Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz
2023 J jnl
Machine Learning with Requirements: a Manifesto.
CoRR
Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
2023 J jnl
ROAD-R: the autonomous driving dataset with logical requirements.
Mach. Learn.
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2023 Misc conf
To TTP or not to TTP?: Exploiting TTPs to Improve ML-based Malware Detection.
CSR
Yashovardhan Sharma, Eleonora Giunchiglia, Simon Birnbach, Ivan Martinovic
2022 A* conf
Deep Learning with Logical Constraints.
IJCAI
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
2022 J jnl
Deep Learning with Logical Constraints.
CoRR
Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz
2022 — ed.
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022
RepL4NLP@ACL
Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer
2022 J jnl
ROAD-R: The Autonomous Driving Dataset with Logical Requirements.
CoRR
Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz
2021 A conf
Lightweight Visual Question Answering using Scene Graphs.
CIKM
Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang
2021 J jnl
Multi-Label Classification Neural Networks with Hard Logical Constraints.
CoRR
Eleonora Giunchiglia, Thomas Lukasiewicz
2021 J jnl
Multi-Label Classification Neural Networks with Hard Logical Constraints.
J. Artif. Intell. Res.
Eleonora Giunchiglia, Thomas Lukasiewicz
2020 A* conf
Coherent Hierarchical Multi-Label Classification Networks.
NeurIPS
Eleonora Giunchiglia, Thomas Lukasiewicz
2020 J jnl
Coherent Hierarchical Multi-Label Classification Networks.
CoRR
Eleonora Giunchiglia, Thomas Lukasiewicz
2020 C conf
Knowledge Graph Extraction from Videos.
ICMLA
Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
2020 J jnl
Knowledge Graph Extraction from Videos.
CoRR
Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz
2020 J jnl
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.
CoRR
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2019 J jnl
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.
CoRR
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2019 B conf
Conditional Behavior Trees: Definition, Executability, and Applications.
SMC
Eleonora Giunchiglia, Michele Colledanchise, Lorenzo Natale, Armando Tacchella
2018 — conf
RNN-SURV: A Deep Recurrent Model for Survival Analysis.
ICANN (3)
Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar