Emile van Krieken

According to our database, Emile van Krieken authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Neurosymbolic Reasoning Shortcuts under the Independence Assumption.

Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari

CoRR, July, 2025

Breaking Rank Bottlenecks in Knowledge Graph Completion.

Samy Badreddine, Emile van Krieken, Luciano Serafini

CoRR, June, 2025

Neurosymbolic Diffusion Models.

Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari

CoRR, May, 2025

Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search.

Alessandro Daniele, Emile van Krieken

CoRR, March, 2025

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.

Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem

Trans. Mach. Learn. Res., 2025

Self-Training Large Language Models for Tool-Use Without Demonstrations.

Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Are We Done with MMLU?

Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mixtures of In-Context Learners.

Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

Dataset, June, 2024

A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.

Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

CoRR, 2024

Optimisation in Neurosymbolic Learning Systems.

Emile van Krieken

CoRR, 2024

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso

Proceedings of the Uncertainty in Artificial Intelligence, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ULLER: A Unified Language for Learning and Reasoning.

Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

On the Independence Assumption in Neurosymbolic Learning.

Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Refining neural network predictions using background knowledge.

Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen

Mach. Learn., September, 2023

IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.

Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth

Dataset, April, 2023

IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.

Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth

Dataset, April, 2023

IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.

Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth

Dataset, April, 2023

IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.

Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth

Dataset, April, 2023

IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.

Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth

CoRR, 2023

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference.

Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Analyzing Differentiable Fuzzy Logic Operators.

Emile van Krieken, Erman Acar, Frank van Harmelen

Artif. Intell., 2022

Analysis of Measure-Valued Derivatives in a Reinforcement Learning Actor-Critic Framework.

Kim van den Houten, Emile van Krieken, Bernd Heidergott

Proceedings of the Winter Simulation Conference, 2022

Prompting as Probing: Using Language Models for Knowledge Base Construction.

Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam

Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022 co-located with the 21st International Semantic Web Conference (ISWC2022), 2022

2021

Storchastic: A Framework for General Stochastic Automatic Differentiation.

Emile van Krieken, Jakub M. Tomczak, Annette ten Teije

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Analyzing Differentiable Fuzzy Implications.

Emile van Krieken, Erman Acar, Frank van Harmelen

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

2019

Semi-supervised Learning using Differentiable Reasoning.

Emile van Krieken, Erman Acar, Frank van Harmelen

FLAP, 2019

2018

Benefits of Social Learning in Physical Robots.

Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018