Volgen
Emile van Krieken
Emile van Krieken
Research Associate, University of Edinburgh
Geverifieerd e-mailadres voor ed.ac.uk - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Analyzing differentiable fuzzy logic operators
E van Krieken, E Acar, F van Harmelen
Artificial Intelligence 302, 103602, 2022
1262022
Prompting as probing: Using language models for knowledge base construction
D Alivanistos, SB Santamarķa, M Cochez, JC Kalo, E van Krieken, ...
arXiv preprint arXiv:2208.11057, 2022
402022
Analyzing Differentiable Fuzzy Implications
E van Krieken, E Acar, F van Harmelen
International Conference on Principles of Knowledge Representation and …, 2020
352020
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
232019
A-nesi: A scalable approximate method for probabilistic neurosymbolic inference
E van Krieken, T Thanapalasingam, J Tomczak, F Van Harmelen, ...
Advances in Neural Information Processing Systems 36, 24586-24609, 2023
202023
Storchastic: A framework for general stochastic automatic differentiation
E van Krieken, J Tomczak, A Ten Teije
Advances in Neural Information Processing Systems 34, 7574-7587, 2021
142021
Refining neural network predictions using background knowledge
A Daniele, E van Krieken, L Serafini, F van Harmelen
Machine Learning 112 (9), 3293-3331, 2023
72023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
T Younesian, T Thanapalasingam, E van Krieken, D Daza, P Bloem
arXiv preprint arXiv:2310.03399, 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
Optimisation in Neurosymbolic Learning Systems
E van Krieken
arXiv preprint arXiv:2401.10819, 2024
12024
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
T Thanapalasingam, E van Krieken, P Bloem, P Groth
arXiv preprint arXiv:2307.06698, 2023
12023
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
Are We Done with MMLU?
AP Gema, JOJ Leang, G Hong, A Devoto, ACM Mancino, R Saxena, X He, ...
arXiv preprint arXiv:2406.04127, 2024
2024
ULLER: A Unified Language for Learning and Reasoning
E van Krieken, S Badreddine, R Manhaeve, E Giunchiglia
arXiv preprint arXiv:2405.00532, 2024
2024
On the Independence Assumption in Neurosymbolic Learning
E van Krieken, P Minervini, EM Ponti, A Vergari
arXiv preprint arXiv:2404.08458, 2024
2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
E Marconato, S Bortolotti, E van Krieken, A Vergari, A Passerini, S Teso
arXiv preprint arXiv:2402.12240, 2024
2024
Differentiable Fuzzy Logics
E van Krieken
Vrije Universiteit, 2019
2019
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–17