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Luc De Raedt

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Papers (20)

  1. DeepLog: A Software Framework for Modular Neurosymbolic AI cs.LG · 2026 · author #6
  2. Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations cs.AI · 2019 · author #6
  3. Semantic Relational Object Tracking cs.RO · 2019 · author #4
  4. Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming cs.AI · 2018 · author #3
  5. Automating Personnel Rostering by Learning Constraints Using Tensors cs.AI · 2018 · author #3
  6. DeepProbLog: Neural Probabilistic Logic Programming cs.AI · 2018 · author #5
  7. Sketched Answer Set Programming cs.AI · 2017 · author #4
  8. Context-based Object Viewpoint Estimation: A 2D Relational Approach cs.CV · 2017 · author #2
  9. Flexible constrained sampling with guarantees for pattern mining cs.AI · 2016 · author #3
  10. The Inductive Constraint Programming Loop cs.AI · 2015 · author #2
  11. Lazy Explanation-Based Approximation for Probabilistic Logic Programming cs.AI · 2015 · author #3
  12. Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling cs.CE · 2015 · author #3
  13. High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline cs.RO · 2014 · author #7
  14. Probabilistic Programming Concepts cs.PL · 2013 · author #1
  15. Algebraic Model Counting cs.LO · 2012 · author #3
  16. kLog: A Language for Logical and Relational Learning with Kernels cs.AI · 2012 · author #3
  17. Inference in Probabilistic Logic Programs using Weighted CNF's cs.AI · 2012 · author #5
  18. The Magic of Logical Inference in Probabilistic Programming cs.LO · 2011 · author #5
  19. On the Implementation of the Probabilistic Logic Programming Language ProbLog cs.PL · 2010 · author #3
  20. Top-down induction of clustering trees cs.LG · 2000 · author #2

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