| Analyzing differentiable fuzzy logic operators E van Krieken, E Acar, F van Harmelen Artificial Intelligence 302, 103602, 2022 | 117 | 2022 |
| Prompting as probing: Using language models for knowledge base construction D Alivanistos, SB Santamaría, M Cochez, JC Kalo, E van Krieken, ... arXiv preprint arXiv:2208.11057, 2022 | 37 | 2022 |
| Analyzing Differentiable Fuzzy Implications E van Krieken, E Acar, F van Harmelen International Conference on Principles of Knowledge Representation and …, 2020 | 34 | 2020 |
| 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 | 23 | 2019 |
| 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, 2024 | 15 | 2024 |
| 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 | 13 | 2021 |
| Refining neural network predictions using background knowledge A Daniele, E van Krieken, L Serafini, F van Harmelen Machine Learning 112 (9), 3293-3331, 2023 | 6 | 2023 |
| 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 | 2 | 2018 |
| Optimisation in Neurosymbolic Learning Systems E van Krieken arXiv preprint arXiv:2401.10819, 2024 | 1 | 2024 |
| IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation T Thanapalasingam, E van Krieken, P Bloem, P Groth arXiv preprint arXiv:2307.06698, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 |
| 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 | | 2023 |
| Differentiable Fuzzy Logics E van Krieken Vrije Universiteit, 2019 | | 2019 |
Frank van HarmelenDept. of Computer Science, Vrije Universiteit AmsterdamVerified email at vu.nl
