| Compositionality decomposed: How do neural networks generalise? D Hupkes, V Dankers, M Mul, E Bruni Journal of Artificial Intelligence Research 67, 757-795, 2020 | 248 | 2020 |
| Increasing altruistic and cooperative behaviour with simple moral nudges V Capraro, G Jagfeld, R Klein, M Mul, I de Pol Scientific reports 9 (1), 11880, 2019 | 143 | 2019 |
| The compositionality of neural networks: integrating symbolism and connectionism D Hupkes, V Dankers, M Mul, E Bruni arXiv preprint arXiv:1908.08351 3, 2019 | 41 | 2019 |
| Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization M Mul, W Zuidema arXiv preprint arXiv:1906.00180, 2019 | 19 | 2019 |
| Mastering emergent language: learning to guide in simulated navigation M Mul, D Bouchacourt, E Bruni arXiv preprint arXiv:1908.05135, 2019 | 9 | 2019 |
| What’s the right thing to do? Increasing pro-sociality with simple moral nudges V Capraro, G Jagfeld, R Klein, M Mul, I van de Pol PsyArXiv, 2017 | 6 | 2017 |
| Learning to Request Guidance in Emergent Communication B Kolb, L Lang, H Bartsch, A Gansekoele, R Koopmanschap, L Romor, ... arXiv preprint arXiv:1912.05525, 2019 | 4 | 2019 |
| Learning to request guidance in emergent language B Kolb, L Lang, H Bartsch, A Gansekoele, R Koopmanschap, L Romor, ... Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world …, 2019 | | 2019 |
| Recognizing Logical Entailment: Reasoning with Recursive and Recurrent Neural Networks MS Mul | | 2018 |
| Improving sample efficiency with expert communication M Mul, T Unger, G Dagan, B Keresztury, E Bruni | | |
