Emile van Krieken

43 papers A* 5A 1C 2Misc 1Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.
J. Data-centric Mach. Learn. Res.
Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
2025 — conf
Are We Done with MMLU?
NAACL (Long Papers)
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
2025 J jnl
Breaking Rank Bottlenecks in Knowledge Graph Completion.
CoRR
Samy Badreddine, Emile van Krieken, Luciano Serafini
2025 J jnl
Fast and Expressive Multi-Token Prediction with Probabilistic Circuits.
CoRR
Andreas Grivas, Lorenzo Loconte, Emile van Krieken, Piotr Nawrot, Yu Zhao, Euan Wielewski, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari
2025 J jnl
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
Trans. Mach. Learn. Res.
Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem
2025 — conf
Mixtures of In-Context Learners.
ACL (1)
Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini
2025 J jnl
Neurosymbolic Diffusion Models.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2025 C conf
Neurosymbolic Reasoning Shortcuts under the Independence Assumption.
NeSy
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2025 J jnl
Neurosymbolic Reasoning Shortcuts under the Independence Assumption.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari
2025 J jnl
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search.
CoRR
Alessandro Daniele, Emile van Krieken
2025 C ed.
Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 8-10 September 2025, Santa Cruz, CA, USA
NeSy
Leilani H. Gilpin, Eleonora Giunchiglia, Pascal Hitzler, Emile van Krieken
2025 — conf
Self-Training Large Language Models for Tool-Use Without Demonstrations.
NAACL (Findings)
Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini
2025 J jnl
Self-Training Large Language Models for Tool-Use Without Demonstrations.
CoRR
Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini
2025 J jnl
Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts.
CoRR
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Paolo Morettin, Elena Umili, Antonio Vergari, Efthymia Tsamoura, Andrea Passerini, Stefano Teso
2024 J jnl
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts.
CoRR
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 A* conf
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts.
NeurIPS
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
2024 J jnl
Are We Done with MMLU?
CoRR
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
2024 A conf
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
UAI
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso
2024 J jnl
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
CoRR
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso
2024 J jnl
Mixtures of In-Context Learners.
CoRR
Giwon Hong, Emile van Krieken, Edoardo M. Ponti, Nikolay Malkin, Pasquale Minervini
2024 A* conf
On the Independence Assumption in Neurosymbolic Learning.
ICML
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024 J jnl
On the Independence Assumption in Neurosymbolic Learning.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024 J jnl
Optimisation in Neurosymbolic Learning Systems.
CoRR
Emile van Krieken
2024 — conf
ULLER: A Unified Language for Learning and Reasoning.
NeSy (1)
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2024 J jnl
ULLER: A Unified Language for Learning and Reasoning.
CoRR
Emile van Krieken, Samy Badreddine, Robin Manhaeve, Eleonora Giunchiglia
2023 A* conf
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference.
NeurIPS
Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije
2023 J jnl
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.
CoRR
Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem
2023 J jnl
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation.
CoRR
Thiviyan Thanapalasingam, Emile van Krieken, Peter Bloem, Paul Groth
2023 J jnl
Refining neural network predictions using background knowledge.
Mach. Learn.
Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen
2022 J jnl
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference.
CoRR
Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije
2022 Misc conf
Analysis of Measure-Valued Derivatives in a Reinforcement Learning Actor-Critic Framework.
WSC
Kim van den Houten, Emile van Krieken, Bernd Heidergott
2022 J jnl
Analyzing Differentiable Fuzzy Logic Operators.
Artif. Intell.
Emile van Krieken, Erman Acar, Frank van Harmelen
2022 — conf
Prompting as Probing: Using Language Models for Knowledge Base Construction.
LM-KBC@ISWC
Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
2022 J jnl
Prompting as Probing: Using Language Models for Knowledge Base Construction.
CoRR
Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam
2022 J jnl
Refining neural network predictions using background knowledge.
CoRR
Alessandro Daniele, Emile van Krieken, Luciano Serafini, Frank van Harmelen
2021 A* conf
Storchastic: A Framework for General Stochastic Automatic Differentiation.
NeurIPS
Emile van Krieken, Jakub M. Tomczak, Annette ten Teije
2021 J jnl
Storchastic: A Framework for General Stochastic Automatic Differentiation.
CoRR
Emile van Krieken, Jakub M. Tomczak, Annette ten Teije
2020 A* conf
Analyzing Differentiable Fuzzy Implications.
KR
Emile van Krieken, Erman Acar, Frank van Harmelen
2020 J jnl
Analyzing Differentiable Fuzzy Implications.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2020 J jnl
Analyzing Differentiable Fuzzy Logic Operators.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2019 J jnl
Semi-Supervised Learning using Differentiable Reasoning.
CoRR
Emile van Krieken, Erman Acar, Frank van Harmelen
2019 J jnl
Semi-supervised Learning using Differentiable Reasoning.
FLAP
Emile van Krieken, Erman Acar, Frank van Harmelen
2018 — conf
Benefits of Social Learning in Physical Robots.
SSCI
Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben