publications

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

2024

  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
    2024
  4. GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
    Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, and 2 more authors
    2024

2023

  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
    2023

2022

  1. Competition winner
    Prompting as Probing: Using Language Models for Knowledge Base Construction
    Dimitrios Alivanistos, Selene Báez Santamarı́a, Michael Cochez, and 4 more authors
    2022
  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

2021

  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

2020

  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

2019

  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

2018

  1. IEEE SSCI
    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