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Emile van Krieken
Emile van Krieken
PhD at Learning and Reasoning group, Vrije Universiteit Amsterdam
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Analyzing differentiable fuzzy logic operators
E van Krieken, E Acar, F van Harmelen
Artificial Intelligence 302, 103602, 2022
602022
Analyzing Differentiable Fuzzy Implications
E van Krieken, E Acar, F van Harmelen
International Conference on Principles of Knowledge Representation and …, 2020
252020
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
212019
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
92021
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
82022
Refining neural network predictions using background knowledge
A Daniele, E van Krieken, L Serafini, F van Harmelen
Machine Learning, 1-39, 2023
32023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
E van Krieken, T Thanapalasingam, JM Tomczak, F van Harmelen, ...
arXiv preprint arXiv:2212.12393, 2022
22022
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
12018
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
2022
Differentiable Fuzzy Logics
E van Krieken
Vrije Universiteit, 2019
2019
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Artikelen 1–10