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Emile van Krieken
Emile van Krieken
Research Associate, University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Analyzing differentiable fuzzy logic operators
E Van Krieken, E Acar, F Van Harmelen
Artificial Intelligence 302, 103602, 2022
1832022
Prompting as probing: Using language models for knowledge base construction
D Alivanistos, SB Santamarķa, M Cochez, JC Kalo, E van Krieken, ...
LM-KBC Challenge 2022, 2022
622022
Are We Done with MMLU?
AP Gema, JOJ Leang, G Hong, A Devoto, ACM Mancino, R Saxena, X He, ...
NAACL 2025, 2024
46*2024
A-nesi: A scalable approximate method for probabilistic neurosymbolic inference
E van Krieken, T Thanapalasingam, J Tomczak, F Van Harmelen, ...
NeurIPS 2023 36, 24586-24609, 2023
462023
Analyzing Differentiable Fuzzy Implications
E van Krieken, E Acar, F van Harmelen
KR 2020, 893–903, 2020
422020
Semi-Supervised Learning using Differentiable Reasoning
E van Krieken, E Acar, F van Harmelen
IFCoLog Journal of Logic and its Applications 6 (4), 633-653, 2019
242019
Storchastic: A framework for general stochastic automatic differentiation
E van Krieken, J Tomczak, A Ten Teije
NeurIPS 2021 34, 7574-7587, 2021
212021
Refining neural network predictions using background knowledge
A Daniele*, E van Krieken*, L Serafini, F van Harmelen
Machine Learning 112 (9), 3293-3331, 2023
142023
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
E Marconato*, S Bortolotti*, E van Krieken*, A Vergari, A Passerini, S Teso
UAI 2024 (Spotlight), 2024
122024
On the Independence Assumption in Neurosymbolic Learning
E van Krieken, P Minervini, EM Ponti, A Vergari
ICML 2024, 2024
102024
Grapes: Learning to sample graphs for scalable graph neural networks
T Younesian, D Daza, E van Krieken, T Thanapalasingam, P Bloem
arXiv preprint arXiv:2310.03399, 2023
62023
A neuro-symbolic benchmark suite for concept quality and reasoning shortcuts
S Bortolotti, E Marconato, T Carraro, P Morettin, E van Krieken, A Vergari, ...
NeurIPS 2024, 1-44, 2024
5*2024
ULLER: A Unified Language for Learning and Reasoning
E van Krieken*, S Badreddine*, R Manhaeve, E Giunchiglia
NeSy 2024 (Spotlight), 219-239, 2024
22024
Optimisation in Neurosymbolic Learning Systems
E van Krieken
arXiv preprint arXiv:2401.10819, 2024
22024
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
T Thanapalasingam, E van Krieken, P Bloem, P Groth
arXiv preprint arXiv:2307.06698, 2023
22023
Benefits of social learning in physical robots
J Heinerman, B Bussmann, R Groenendijk, E Van Krieken, J Slik, A Tezza, ...
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 851-858, 2018
22018
Mixtures of In-Context Learners
G Hong, E van Krieken, E Ponti, N Malkin, P Minervini
arXiv preprint arXiv:2411.02830, 2024
12024
Analysis of Measure-Valued Derivatives in a Reinforcement Learning Actor-Critic Framework
K Van Den Houten, E Van Krieken, B Heidergott
2022 Winter Simulation Conference (WSC), 2736-2747, 2022
12022
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search
A Daniele, E van Krieken
arXiv preprint arXiv:2503.01817, 2025
2025
Self-Training Large Language Models for Tool-Use Without Demonstrations
N Luo, AP Gema, X He, E van Krieken, P Lesci, P Minervini
arXiv preprint arXiv:2502.05867, 2025
2025
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Articles 1–20