Publications by categories in reversed chronological order. See my Google scholar for the latest updates


  1. UAI
    BEARS Make Neuro-Symbolic Models Aware of Their Reasoning Shortcuts
    Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, and 3 more authors
    In , 2024
  2. ICML
    On the Independence Assumption in Neurosymbolic Learning
    Emile van Krieken, Pasquale Minervini, Edoardo M Ponti, and 1 more author
    In International Conference on Machine Learning , 2024
  3. ULLER: A Unified Language for Learning and Reasoning
    Emile van Krieken, Samy Badreddine, Robin Manhaeve, and 1 more author
  4. GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
    Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, and 2 more authors


  1. ML Journal
    Refining Neural Network Predictions Using Background Knowledge
    Alessandro Daniele, Emile van Krieken, Luciano Serafini, and 1 more author
    In Machine Learning , 2023
  2. NeurIPS
    A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
    Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, and 2 more authors
    In Advances in Neural Information Processing Systems , 2023
  3. Dataset
    IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
    Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, and 1 more author


  1. Competition winner
    Prompting as Probing: Using Language Models for Knowledge Base Construction
    Dimitrios Alivanistos, Selene Báez Santamarı́a, Michael Cochez, and 4 more authors
  2. WSC
    Analysis of Measure-Valued Derivatives in a Reinforcement Learning Actor-Critic Framework
    Kim van den Houten, Emile van Krieken, and Bernd Heidergott
    In 2022 Winter Simulation Conference (WSC) , 2022
  3. AI Journal
    Analyzing Differentiable Fuzzy Logic Operators
    Emile van Krieken, Erman Acar, and Frank Harmelen
    In Artificial Intelligence , 2022


  1. NeurIPS
    Storchastic: A Framework for General Stochastic Automatic Differentiation
    Emile van Krieken, Jakub Tomczak, and Annette Ten Teije
    In Advances in Neural Information Processing Systems , 2021


  1. KR
    Analyzing Differentiable Fuzzy Implications
    Emile van Krieken, Erman Acar, and Frank van Harmelen
    In Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning , 2020


  1. IFCoLog
    Semi-Supervised Learning Using Differentiable Reasoning
    Emile van Krieken, Erman Acar, and Frank Harmelen
    In IFCoLog Journal of Logic and its Applications , 2019


    Benefits of Social Learning in Physical Robots
    Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, and 5 more authors
    In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) , 2018