Van Krieken, Emile

8 publications

TMLR 2025 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem

NeurIPS 2025 Neurosymbolic Diffusion Models Emile van Krieken, Pasquale Minervini, Edoardo Ponti, Antonio Vergari

NeurIPS 2024 A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

ICML 2024 On the Independence Assumption in Neurosymbolic Learning Emile Van Krieken, Pasquale Minervini, Edoardo Ponti, Antonio Vergari

NeurIPS 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette Ten Teije

NeurIPSW 2023 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem

MLJ 2023 Refining Neural Network Predictions Using Background Knowledge Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen

NeurIPSW 2020 Type-Driven Neural Programming by Example Kiara Grouwstra, Emile van Krieken