| Abstractors: Transformer modules for symbolic message passing and relational reasoning A Altabaa, T Webb, J Cohen, J Lafferty stat 1050, 25, 2023 | 12 | 2023 |
| The relational bottleneck as an inductive bias for efficient abstraction TW Webb, SM Frankland, A Altabaa, K Krishnamurthy, D Campbell, ... arXiv preprint arXiv:2309.06629, 2023 | 10 | 2023 |
| Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers A Altabaa, TW Webb, JD Cohen, J Lafferty The Twelfth International Conference on Learning Representations, 2023 | 3 | 2023 |
| Relational Convolutional Networks: A framework for learning representations of hierarchical relations A Altabaa, J Lafferty arXiv preprint arXiv:2310.03240, 2023 | 3 | 2023 |
| Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games A Altabaa, B Yongacoglu, S Yüksel 2023 American Control Conference (ACC), 2023 | 2 | 2023 |
| Approximation of relation functions and attention mechanisms A Altabaa, J Lafferty arXiv preprint arXiv:2402.08856, 2024 | 1 | 2024 |
| geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks A Altabaa, D Huang, C Byles-Ho, H Khatib, F Sosa, T Hu 2022 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2022 | 1 | 2022 |
| On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games A Altabaa, Z Yang arXiv preprint arXiv:2403.00993, 2024 | | 2024 |
