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Luc De Raedt

15 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

AAAI ×6ECAI ×4ECML-PKDD ×1ICML ×1IJCAI ×1KR ×1NeurIPS ×1

Frequent coauthors

Jaron Maene
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Ying Jiao
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Adem Kikaj
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Periklis Mantenoglou
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Nikolaos Manginas
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Quinten Dewulf
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David Debot
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Sieben Bocklandt
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Lennert De Smet
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Dirko Coetsee
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Pedro Zuidberg Dos Martires
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Victor Verreet
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Papers

  1. DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
    AAAI 2026 ·
    Ying Jiao
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  2. DEEPGRAPHLOG for Layered Neurosymbolic AI
    ECAI 2025 ·
    Adem Kikaj
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  3. LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
    NeurIPS 2025 ·
    Periklis Mantenoglou
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  4. NeSyA: Neurosymbolic Automata
    IJCAI 2025 ·
    Nikolaos Manginas
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  5. Neurosymbolic OCR for Handwritten Tax Forms
    ECAI 2025 ·
    Quinten Dewulf
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  6. Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields
    AAAI 2025 ·
    David Debot
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  7. Queryable and Interpretable PU Learning Through Probabilistic Circuits
    ECML-PKDD 2025 ·
    Sieben Bocklandt
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  8. Relational Neurosymbolic Markov Models
    AAAI 2025 ·
    Lennert De Smet
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  9. TABIA: A Language to Transform, Combine, and Reason over Semi-Structured Tabular Data
    ECAI 2025 ·
    Dirko Coetsee
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  10. The Gradient of Algebraic Model Counting
    AAAI 2025 ·
    Jaron Maene
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  11. Automated Reasoning in Systems Biology: A Necessity for Precision Medicine
    KR 2024 ·
    Pedro Zuidberg Dos Martires
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  12. EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
    ECAI 2024 ·
    Victor Verreet
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  13. Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
    AAAI 2024 ·
    Gabriele Venturato
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  14. On the Hardness of Probabilistic Neurosymbolic Learning
    ICML 2024 ·
    Jaron Maene
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  15. SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge
    AAAI 2024 ·
    Rishi Hazra
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