publications

journal

1. CLSR

   Legal consciousness in the tech community: A conceptual and analytical framework

   Katalin Kelemen, Ana Maria Vargas Falla, and Pedro Zuidberg Dos Martires

   Computer Law & Security Review, 2026

   link bib

   @article{kelemen2026legal,
     title = {Legal consciousness in the tech community: A conceptual and analytical framework},
     author = {Kelemen, Katalin and {Vargas Falla}, Ana Maria and {Zuidberg Dos Martires}, Pedro},
     journal = {Computer Law & Security Review},
     url = {https://www.sciencedirect.com/science/article/pii/S2212473X26001641},
     year = {2026},
   }

1. AIJ

   Declarative Probabilistic Logic Programming in Discrete-Continuous Domains

   Pedro Zuidberg Dos Martires, Luc De Raedt, and Angelika Kimmig

   Artificial Intelligence Journal, 2024

   link bib

   @article{zuidberg2024declarative,
     title = {Declarative Probabilistic Logic Programming in Discrete-Continuous Domains},
     author = {Zuidberg Dos Martires, Pedro and De Raedt, Luc and Kimmig, Angelika},
     journal = {Artificial Intelligence Journal},
     url = {https://www.sciencedirect.com/science/article/pii/S0004370224001632},
     year = {2024},
   }

1. IJAR

   Semirings for Probabilistic and Neuro-Symbolic Logic Programming

   Vincent Derkinderen, Robin Manhaeve, Pedro Zuidberg Dos Martires, and Luc De Raedt

   International Journal of Approximate Reasoning, 2024

   link bib

   @article{derkinderen2024semirings,
     title = {Semirings for Probabilistic and Neuro-Symbolic Logic Programming},
     author = {Derkinderen, Vincent and Manhaeve, Robin and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     journal = {International Journal of Approximate Reasoning},
     url = {https://www.sciencedirect.com/science/article/pii/S0888613X24000173?dgcid},
     year = {2024},
   }

1. Frontiers

   Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring

   Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson, Amy Loutfi, and Luc De Raedt

   Frontiers in Robotics and AI, 2020

   paper bib

   @article{zuidbergdosmartires2020symbolic,
     title = {Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring},
     author = {Zuidberg Dos Martires, Pedro and Kumar, Nitesh and Persson, Andreas and Loutfi, Amy and De Raedt, Luc},
     journal = {Frontiers in Robotics and AI},
     volume = {7},
     year = {2020},
   }

1. IEEE

   Semantic Relational Object Tracking

   Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, and Amy Loutfi

   IEEE Transactions on Cognitive and Developmental Systems, 2020

   paper bib

   @article{persson2020semantic,
     title = {Semantic Relational Object Tracking},
     author = {Persson, Andreas and Zuidberg Dos Martires, Pedro and De Raedt, Luc and Loutfi, Amy},
     journal = {IEEE Transactions on Cognitive and Developmental Systems},
     volume = {12},
     number = {1},
     year = {2020},
     publisher = {IEEE},
   }

conference

1. NeurIPS

   RAIL: Representation-Aligned Imitation Learning for Student-Compatible Teacher Policies

   Meraj Mammadov, Pedro Zuidberg Dos Martires, and Johannes Andreas Stork

   Conference on Neural Information Processing Systems, 2026

   bib

   @inproceedings{mammadov2026rail,
     title = {RAIL: Representation-Aligned Imitation Learning for Student-Compatible Teacher Policies},
     author = {Mammadov, Meraj and Zuidberg Dos Martires, Pedro and Stork, Johannes Andreas},
     booktitle = {Conference on Neural Information Processing Systems},
     year = {2026},
   }

1. GECCO

   COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game

   Alkis Sygkounas, Rishi Hazra, Andreas Persson, Pedro Zuidberg Dos Martires, and Amy Loutfi

   Genetic and Evolutionary Computation Conference, 2026

   paper bib

   @inproceedings{sygkounas2026covolve,
     title = {COvolve: Adversarial Co-Evolution of Large-Language-Model-Generated Policies and Environments via Two-Player Zero-Sum Game},
     author = {Sygkounas, Alkis and Hazra, Rishi and Persson, Andreas and Zuidberg Dos Martires, Pedro and Loutfi, Amy},
     booktitle = {Genetic and Evolutionary Computation Conference},
     year = {2026},
   }

1. ICLR

   APC-RL: Exceeding data-driven behavior priors with adaptive policy composition

   Finn Rietz, Pedro Zuidberg Dos Martires, and Johannes Stork

   International Conference on Learning Representations, 2026

   paper bib

   @inproceedings{rietz2026aclrl,
     title = {APC-RL: Exceeding data-driven behavior priors with adaptive policy composition},
     author = {Rietz, Finn and Zuidberg Dos Martires, Pedro and Stork, Johannes},
     booktitle = {International Conference on Learning Representations},
     year = {2026},
   }

1. AAAI

   Two Constraint Compilation Methods for Lifted Planning

   Periklis Mantenoglou, Luigi Bonassi, Enrico Scala, and Pedro Zuidberg Dos Martires

   AAAI Conference on Artificial Intelligence, 2026

   paper bib

   @inproceedings{mantenoglou2025two,
     title = {Two Constraint Compilation Methods for Lifted Planning},
     author = {Mantenoglou, Periklis and Bonassi, Luigi and Scala, Enrico and Zuidberg Dos Martires, Pedro},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2026},
   }

1. NeurIPS

   LEXICON: a Benchmark for Planning under Temporal Constraints in Natural Language

   Periklis Mantenoglou, Rishi Hazra, Pedro Zuidberg Dos Martires, and Luc De Raedt

   Conference on Neural Information Processing Systems, 2025

   paper bib

   @inproceedings{mantenoglou2025lexicon,
     title = {LEXICON: a Benchmark for Planning under Temporal Constraints in Natural Language},
     author = {Mantenoglou, Periklis and Hazra, Rishi and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     year = {2025},
     booktitle = {Conference on Neural Information Processing Systems},
   }

1. COLM

   Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition

   Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, and Luc De Raedt

   Conference on Language Modeling, 2025

   paper bib

   @inproceedings{hazra2025have,
     title = {Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition},
     author = {Hazra, Rishi and Venturato, Gabriele and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     year = {2025},
     booktitle = {Conference on Language Modeling},
   }

1. UAI

   A Quantum Information Theoretic Approach to Tractable Probabilistic Models

   Pedro Zuidberg Dos Martires

   Uncertainty in Artificial Intelligence Conference, 2025

   paper bib

   @inproceedings{zuidberg2025quantum,
     title = {A Quantum Information Theoretic Approach to Tractable Probabilistic Models},
     author = {Zuidberg Dos Martires, Pedro},
     year = {2025},
     booktitle = {Uncertainty in Artificial Intelligence Conference},
   }

1. ICLR

   KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI

   Jaron Maene, Vincent Derkinderen, and Pedro Zuidberg Dos Martires

   International Conference on Learning Representations, 2025

   paper bib

   @inproceedings{maene2025klay,
     title = {KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI},
     author = {Maene, Jaron and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro},
     booktitle = {International Conference on Learning Representations},
     year = {2025},
   }

2. ICLR

   REvolve: Reward Evolution with Large Language Models using Human Feedback

   Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, and Pedro Zuidberg Dos Martires

   International Conference on Learning Representations, 2025

   paper website bib

   @inproceedings{hazra2025revolve,
     title = {REvolve: Reward Evolution with Large Language Models using Human Feedback},
     author = {Hazra, Rishi and Sygkounas, Alkis and Persson, Andreas and Loutfi, Amy and Zuidberg Dos Martires, Pedro},
     booktitle = {International Conference on Learning Representations},
     year = {2025},
   }

1. NeurIPS

   A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic

   Lennert De Smet, and Pedro Zuidberg Dos Martires

   Conference on Neural Information Processing Systems, 2024

   paper bib

   @inproceedings{desmet2024fast,
     title = {A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetic},
     author = {De Smet, Lennert and Zuidberg Dos Martires, Pedro},
     year = {2024},
     booktitle = {Conference on Neural Information Processing Systems},
   }

1. KR

   Automated Reasoning in Systems Biology: a Necessity for Precision Medicine

   Pedro Zuidberg Dos Martires, Vincent Derkinderen, Luc De Raedt, and Marcus Krantz

   International Conference on Knowledge Representation and Reasoning, 2024

   paper bib

   @inproceedings{zuidberg2024automated,
     title = {Automated Reasoning in Systems Biology: a Necessity for Precision Medicine},
     author = {Zuidberg Dos Martires, Pedro and Derkinderen, Vincent and De Raedt, Luc and Krantz, Marcus},
     booktitle = {International Conference on Knowledge Representation and Reasoning},
     year = {2024},
   }

1. AAAI

   SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge

   Rishi Hazra, Pedro Zuidberg Dos Martires, and Luc De Raedt

   AAAI Conference on Artificial Intelligence, 2024

   paper website bib

   @inproceedings{hazra2024saycanpay,
     title = {SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge},
     author = {Hazra, Rishi and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2024},
   }

2. AAAI

   Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation

   Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, and Luc De Raedt

   AAAI Conference on Artificial Intelligence, 2024

   paper bib

   @inproceedings{venturato2024inference,
     title = {Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation},
     author = {Venturato, Gabriele and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2024},
   }

3. AAAI

   Probabilistic Neural Circuits

   Pedro Zuidberg Dos Martires

   AAAI Conference on Artificial Intelligence, 2024

   paper bib

   @inproceedings{zuidberg2024probabilistic,
     title = {Probabilistic Neural Circuits},
     author = {Zuidberg Dos Martires, Pedro},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2024},
   }

1. NeurIPS

   Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

   Lennert De Smet, Emanuele Sansone, and Pedro Zuidberg Dos Martires

   Conference on Neural Information Processing Systems, 2023

   paper appendix bib

   @inproceedings{desmet2023differentiable,
     title = {Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick},
     author = {De Smet, Lennert and Sansone, Emanuele and Zuidberg Dos Martires, Pedro},
     year = {2023},
     booktitle = {Conference on Neural Information Processing Systems},
   }

1. UAI

   Neural Probabilistic Logic Programming in Discrete-Continuous Domains

   Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, and Luc De Raedt

   Uncertainty in Artificial Intelligence Conference, 2023

   paper appendix bib

   @inproceedings{desmet2023neural,
     title = {Neural Probabilistic Logic Programming in Discrete-Continuous Domains},
     author = {De Smet, Lennert and Zuidberg Dos Martires, Pedro and Manhaeve, Robin and Marra, Giuseppe and Kimmig, Angelika and De Raedt, Luc},
     year = {2023},
     booktitle = {Uncertainty in Artificial Intelligence Conference},
   }

1. AAAI

   Inference and Learning with Model Uncertainty in Probabilistic Logic Programs

   Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, and Luc De Raedt

   AAAI Conference on Artificial Intelligence, 2022

   paper bib

   @inproceedings{verreet2022inference,
     title = {Inference and Learning with Model Uncertainty in Probabilistic Logic Programs},
     author = {Verreet, Victor and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2022},
   }

1. IJCAI

   Hybrid probabilistic inference with logical and algebraic constraints: a survey

   Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, and Andrea Passerini

   International Joint Conference on Artificial Intelligence, 2021

   paper bib

   @inproceedings{morettin2021hybrid,
     title = {Hybrid probabilistic inference with logical and algebraic constraints: a survey},
     author = {Morettin, Paolo and Zuidberg Dos Martires, Pedro and Kolb, Samuel and Passerini, Andrea},
     booktitle = {International Joint Conference on Artificial Intelligence},
     year = {2021},
   }

1. UAI

   Ordering Variables for Weighted Model Integration

   Vincent Derkinderen, Evert Heylen, Pedro Zuidberg Dos Martires, Samuel Kolb, and Luc De Raedt

   Uncertainty in Artificial Intelligence Conference, 2020

   paper bib

   @inproceedings{derkinderen2020ordering,
     title = {Ordering Variables for Weighted Model Integration},
     author = {Derkinderen, Vincent and Heylen, Evert and Zuidberg Dos Martires, Pedro and Kolb, Samuel and De Raedt, Luc},
     booktitle = {Uncertainty in Artificial Intelligence Conference},
     year = {2020},
   }

2. IJCAI

   ProbAnch: a Modular Probabilistic Anchoring Framework

   Andreas Persson, Pedro Zuidberg Dos Martires, Luc De Raedt, and Amy Loutfi

   International Joint Conference on Artificial Intelligence, 2020

   paper bib

   @inproceedings{persson2020probanch,
     title = {ProbAnch: a Modular Probabilistic Anchoring Framework},
     author = {Persson, Andreas and Zuidberg Dos Martires, Pedro and De Raedt, Luc and Loutfi, Amy},
     booktitle = {International Joint Conference on Artificial Intelligence},
     year = {2020},
   }

1. IJCAI

   The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration

   Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, and Luc De Raedt

   International Joint Conference on Artificial Intelligence, 2019

   paper bib

   @inproceedings{kolb2019pywmi,
     title = {{The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration}},
     author = {Kolb, Samuel and Morettin, Paolo and Zuidberg Dos Martires, Pedro and Sommavilla, Francesco and Passerini, Andrea and Sebastiani, Roberto and De Raedt, Luc},
     booktitle = {International Joint Conference on Artificial Intelligence},
     year = {2019},
   }

1. UAI

   How to Exploit Structure while Solving Weighted Model Integration Problems

   Samuel Kolb, Pedro Zuidberg Dos Martires, and Luc De Raedt

   Uncertainty in Artificial Intelligence Conference, 2019

   paper appendix bib

   @inproceedings{kolb2019structure,
     title = {How to Exploit Structure while Solving Weighted Model Integration Problems},
     author = {Kolb, Samuel and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {Uncertainty in Artificial Intelligence Conference},
     year = {2019},
   }

1. AAAI

   Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

   Pedro Zuidberg Dos Martires, Anton Dries, and Luc De Raedt

   AAAI Conference on Artificial Intelligence, 2019

   paper bib

   @inproceedings{zuidbergdosmartires2019exactcompilation,
     title = {Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation},
     author = {Zuidberg Dos Martires, Pedro and Dries, Anton and De Raedt, Luc},
     booktitle = {AAAI Conference on Artificial Intelligence},
     year = {2019},
   }

tutorial

1. IJCAI

   Hybrid Probabilistic Inference with Algebraic and Logical Constraints

   Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, and Andrea Passerini

   2022

   link bib

   @misc{morettin2022hybrid,
     title = {Hybrid Probabilistic Inference with Algebraic and Logical Constraints
                    },
     author = {Morettin, Paolo and Zuidberg Dos Martires, Pedro and Kolb, Samuel and Passerini, Andrea},
     booktitle = {International Joint Conference on Artificial Intelligence},
     year = {2022},
     url = {https://dtai.cs.kuleuven.be/tutorials/wmitutorial},
   }

workshop

1. Teacher-Student Representational Alignment for Reinforcement Learning-Driven Imitation Learning

   Meraj Mammadov, Pedro Zuidberg Dos Martires, and Johannes Andreas Stork

   Workshop on Reinforcement Learning in the Era of Imitation Learning, 2026

   bib

   @inproceedings{mammadov2026teacher,
     title = {Teacher-Student Representational Alignment for Reinforcement Learning-Driven Imitation Learning},
     author = {Mammadov, Meraj and Zuidberg Dos Martires, Pedro and Stork, Johannes Andreas},
     booktitle = {Workshop on Reinforcement Learning in the Era of Imitation Learning},
     year = {2026},
   }

1. Can Large Language Models Reason? A Characterization via 3-SAT

   Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, and Luc De Raedt

   Workshop on Reasoning and Planning for Large Language Models, 2025

   paper bib

   @inproceedings{hazra2025can,
     title = {Can Large Language Models Reason? A Characterization via 3-SAT},
     author = {Hazra, Rishi and Venturato, Gabriele and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     year = {2025},
     booktitle = {Workshop on Reasoning and Planning for Large Language Models},
   }

1. KLay: Accelerating Sparse Arithmetic Circuits

   Jaron Maene, Vincent Derkinderen, and Pedro Zuidberg Dos Martires

   Workshop on Connecting Lowrank Representations in AI, 2025

   paper bib

   @inproceedings{maene2025klaycolorai,
     title = {KLay: Accelerating Sparse Arithmetic Circuits},
     author = {Maene, Jaron and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro},
     year = {2025},
     booktitle = {Workshop on Connecting Lowrank Representations in AI},
   }

1. Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick

   Lennert De Smet, Emanuele Sansone, and Pedro Zuidberg Dos Martires

   Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, 2023

   paper bib

   @inproceedings{desmet2023differentiablealmost,
     title = {Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick},
     author = {De Smet, Lennert and Sansone, Emanuele and Zuidberg Dos Martires, Pedro},
     year = {2023},
     booktitle = {Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators},
   }

1. Top-Down Knowledge Compilation for Counting Modulo Theories

   Vincent Derkinderen, Pedro Zuidberg Dos Martires, Samuel Kolb, and Paolo Morettin

   Workshop on Counting and Sampling, 2023

   paper bib

   @inproceedings{derkinderen2023top,
     title = {Top-Down Knowledge Compilation for Counting Modulo Theories},
     author = {Derkinderen, Vincent and Zuidberg Dos Martires, Pedro and Kolb, Samuel and Morettin, Paolo},
     booktitle = {Workshop on Counting and Sampling},
     year = {2023},
   }

1. Tensorised Probabilistic Inference for Neural Probabilistic Logic Programming

   Lennert De Smet, Robin Manhaeve, Giuseppe Marra, and Pedro Zuidberg Dos Martires

   Workshop on Tractable Probabilistic Modeling, 2022

   paper bib

   @inproceedings{desmet2022tensorised,
     title = {Tensorised Probabilistic Inference for Neural Probabilistic Logic Programming},
     author = {De Smet, Lennert and Manhaeve, Robin and Marra, Giuseppe and Zuidberg Dos Martires, Pedro},
     booktitle = {Workshop on Tractable Probabilistic Modeling},
     year = {2022},
   }

2. Towards Tractable Dynamic Decision Making With Circuits

   Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, and Luc De Raedt

   Workshop on Tractable Probabilistic Modeling, 2022

   paper bib

   @inproceedings{venturato2022towards,
     title = {Towards Tractable Dynamic Decision Making With Circuits},
     author = {Venturato, Gabriele and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {Workshop on Tractable Probabilistic Modeling},
     year = {2022},
   }

1. Neural Semirings

   Pedro Zuidberg Dos Martires

   International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2021

   paper bib

   @inproceedings{zuidberg2021neural,
     title = {Neural Semirings},
     author = {Zuidberg Dos Martires, Pedro},
     booktitle = {International Workshop on Neural-Symbolic Learning and Reasoning (NeSy)},
     year = {2021},
   }

1. Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration

   Pedro Zuidberg Dos Martires, and Samuel Kolb

   International Workshop on Statistical Relational AI (StarAI), 2020

   paper bib

   @inproceedings{zuidbergdosmartires2020monte,
     title = {Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration},
     author = {Zuidberg Dos Martires, Pedro and Kolb, Samuel},
     booktitle = {International Workshop on Statistical Relational AI (StarAI)},
     year = {2020},
   }

1. Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations

   Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, and Alessandro Saffiotti

   Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics (SpLU-RoboNLP), 2019

   paper bib

   @inproceedings{can2019learning,
     title = {Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations},
     author = {Can, Ozan Arkan and Zuidberg Dos Martires, Pedro and Persson, Andreas and Gaal, Julian and Loutfi, Amy and De Raedt, Luc and Yuret, Deniz and Saffiotti, Alessandro},
     booktitle = {Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics (SpLU-RoboNLP)},
     year = {2019},
   }

1. Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming

   Pedro Zuidberg Dos Martires, Anton Dries, and Luc De Raedt

   International Workshop on Statistical Relational AI, 2018

   paper bib

   @inproceedings{zuidberg2018knowledge,
     title = {Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming},
     author = {Zuidberg Dos Martires, Pedro and Dries, Anton and De Raedt, Luc},
     year = {2018},
     booktitle = {International Workshop on Statistical Relational AI},
   }

1. Relational Symbol Grounding through Affordance Learning: an Overview of the ReGround Project

   Laura Antanas, Ozan Arkan Can, Jesse Davis, Luc De Raedt, Amy Loutfi, Andreas Persson, Alessandro Saffiotti, Emre Unal, Deniz Yuret, and Pedro Zuidberg Dos Martires

   International Workshop on Grounding Language Understanding, 2017

   paper bib

   @inproceedings{antanas2017relational,
     title = {Relational Symbol Grounding through Affordance Learning: an Overview of the ReGround Project},
     author = {Antanas, Laura and Can, Ozan Arkan and Davis, Jesse and De Raedt, Luc and Loutfi, Amy and Persson, Andreas and Saffiotti, Alessandro and Unal, Emre and Yuret, Deniz and Zuidberg Dos Martires, Pedro},
     booktitle = {International Workshop on Grounding Language Understanding},
     year = {2017},
   }

abstract

1. Neural Probabilistic Logic Programming in Discrete-Continuous Domains

   Lennert De Smet, Pedro Zuidberg Dos Martires, Robin Manhaeve, Giuseppe Marra, Angelika Kimmig, and Luc De Raedt

   BNAIC-BeNeLearn, 2023

   paper bib

   @inproceedings{desmet2023neuralabs,
     title = {Neural Probabilistic Logic Programming in Discrete-Continuous Domains},
     author = {De Smet, Lennert and Zuidberg Dos Martires, Pedro and Manhaeve, Robin and Marra, Giuseppe and Kimmig, Angelika and De Raedt, Luc},
     year = {2023},
     booktitle = {BNAIC-BeNeLearn},
   }

1. Inference and Learning with Model Uncertainty in Probabilistic Logic Programs

   Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, and Luc De Raedt

   International Conference on Logic Programming, 2022

   paper bib

   @inproceedings{verreet2022inferenceabs,
     title = {Inference and Learning with Model Uncertainty in Probabilistic Logic Programs},
     author = {Verreet, Victor and Derkinderen, Vincent and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     booktitle = {International Conference on Logic Programming},
     year = {2022},
   }

1. Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning

   Pedro Zuidberg Dos Martires, Vincent Derkinderen, Robin Manhaeve, Wannes Meert, Angelika Kimmig, and Luc De Raedt

   Program Transformations for Machine Learning, 2019

   paper bib

   @inproceedings{zuidbergdosmartires2019transforming,
     title = {Transforming Probabilistic Programs into Algebraic Circuits for Inference and Learning},
     author = {Zuidberg Dos Martires, Pedro and Derkinderen, Vincent and Manhaeve, Robin and Meert, Wannes and Kimmig, Angelika and De Raedt, Luc},
     booktitle = {Program Transformations for Machine Learning},
     year = {2019},
   }

1. Differentiation and Weighted Model Integration

   Pedro Zuidberg Dos Martires

   Workshop on Deep Continuous-Discrete Machine Learning (DecodeML), 2019

   paper bib

   @inproceedings{zuidberg2019differentiation,
     title = {Differentiation and Weighted Model Integration},
     author = {Zuidberg Dos Martires, Pedro},
     booktitle = {Workshop on Deep Continuous-Discrete Machine Learning (DecodeML)},
     year = {2019},
   }

1. Reactive Probabilistic Programming

   Pedro Zuidberg Dos Martires, and Sebastijan Dumancic

   International Conference on Probabilistic Programming (ProbProg), 2018

   paper bib

   @inproceedings{zuidberg2018reactive,
     title = {Reactive Probabilistic Programming},
     author = {Zuidberg Dos Martires, Pedro and Dumancic, Sebastijan},
     booktitle = {International Conference on Probabilistic Programming (ProbProg)},
     year = {2018},
   }

preprint

1. Neurosymbolic Decision Trees

   Matthias Möller, Arvid Norlander, Pedro Zuidberg Dos Martires, and Luc De Raedt

   arXiv preprint arXiv:2503.08762, 2025

   bib

   @article{moller2025neurosymbolic,
     title = {Neurosymbolic Decision Trees},
     author = {Möller, Matthias and Norlander, Arvid and Zuidberg Dos Martires, Pedro and De Raedt, Luc},
     journal = {arXiv preprint arXiv:2503.08762},
     year = {2025},
   }

2. Independence Is Not an Issue in Neurosymbolic AI

   Håkan Karlsson Faronius, and Pedro Zuidberg Dos Martires

   arXiv preprint arXiv:2504.07851, 2025

   bib

   @article{faronius2025independence,
     title = {Independence Is Not an Issue in Neurosymbolic AI},
     author = {Karlsson Faronius, H{\aa}kan and Zuidberg Dos Martires, Pedro},
     journal = {arXiv preprint arXiv:2504.07851},
     year = {2025},
   }

1. Measure Theoretic Weighted Model Integration

   Ivan Miosic, and Pedro Zuidberg Dos Martires

   arXiv preprint arXiv:2103.13901, 2021

   paper bib

   @article{miosic2021measure,
     title = {Measure Theoretic Weighted Model Integration},
     author = {Miosic, Ivan and Zuidberg Dos Martires, Pedro},
     journal = {arXiv preprint arXiv:2103.13901},
     year = {2021},
   }

thesis

1. From Atoms to Possible Worlds: Probabilistic Inference in the Discrete-Continuous Domain

   Pedro Zuidberg Dos Martires

   KU Leuven, 2020

   paper bib

   @phdthesis{zuidberg2020atoms,
     title = {From Atoms to Possible Worlds: Probabilistic Inference in the Discrete-Continuous Domain},
     author = {Zuidberg Dos Martires, Pedro},
     school = {KU Leuven},
     year = {2020},
   }