Eleonora Giunchiglia
Assistant Professor
Leads the DUCK Lab on neurosymbolic AI, building machine learning models that satisfy logical constraints and domain knowledge.
Eleonora Giunchiglia's lab at Imperial works on reasoning & neuro-symbolic AI and knowledge, QA & retrieval. 14 papers since 2023, 6 at top venues, mostly ICLR and Findings of ACL. 5 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 43%
- PhD students
- 5
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 2 · collecting
- 3 papers2025 · T1 2
- 5 papers2024 · T1 2
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, Findings of ACL, Findings of EMNLP, ICML, IJCAI
Research focuspaper titles that use each topic's words
- Reasoning & neuro-symbolic AI6 papers
- neurosymbolic1 paper
- constraints1 paper
- Knowledge, QA & retrieval0 papers
- logical0 papers
Paper list
From the lab homepage.
20266 papers
- TMLR (T1)A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond (opens in a new tab)
- ICML (T1)Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models (opens in a new tab)
- NeSyCan Transformers Perform LTLf Strategic Reasoning? Sometimes
- NeSyConstraint-Satisfying Reinforcement Learning via a Neuro-Symbolic Projection Layer
- Findings of ACLPiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains (opens in a new tab)
- Findings of EMNLPStay Within Your Bounds: Distance-Guided Decoding for Guaranteed Context-Free Grammar Compliance (opens in a new tab)
20253 papers
- ECAIA Posteriori Verification or a Priori Design? Navigating Requirements-Driven Deep Learning (opens in a new tab)
- ICLR (T1)Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints (opens in a new tab)
- NeurIPS (T1)Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI (opens in a new tab)
20245 papers
- International Journal of Approximate ReasoningCCN+: A neuro-symbolic framework for deep learning with requirements (opens in a new tab)
- ICMLCDeep generative models as an adversarial attack strategy for tabular machine learning (opens in a new tab)
- ICLR (T1)How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data (opens in a new tab)
- IJCAI (T1)PiShield: A PyTorch Package for Learning with Requirements (opens in a new tab)
- NeSyULLER: A Unified Language for Learning and Reasoning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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Data
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- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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