Awni Altabaa

According to our database, Awni Altabaa authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision.

Awni Altabaa, Omar Montasser, John Lafferty

CoRR, May, 2025

2024

Learning Hierarchical Relational Representations through Relational Convolutions.

Awni Altabaa, John Lafferty

Trans. Mach. Learn. Res., 2024

Disentangling and Integrating Relational and Sensory Information in Transformer Architectures.

Awni Altabaa, John Lafferty

CoRR, 2024

Approximation of relation functions and attention mechanisms.

Awni Altabaa, John Lafferty

CoRR, 2024

On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games.

Awni Altabaa, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers.

Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Relational Convolutional Networks: A framework for learning representations of hierarchical relations.

Awni Altabaa, John Lafferty

CoRR, 2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.

Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen

CoRR, 2023

Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning.

Awni Altabaa, Taylor W. Webb, Jonathan D. Cohen, John Lafferty

CoRR, 2023

Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games.

Awni Altabaa, Bora Yongacoglu, Serdar Yüksel

Proceedings of the American Control Conference, 2023

2022

geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks.

Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022