publications in reverse chronological order


  1. ML
    Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
    Awni Altabaa, and John Lafferty
  2. RL
    On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
    Awni Altabaa, and Zhuoran Yang
    Mar 2024
  3. ML
    Approximation of Relation Functions and Attention Mechanisms
    Awni Altabaa, and John Lafferty
    Feb 2024


  1. ML
    Learning Hierarchical Relational Representations through Relational Convolutions
    Awni Altabaa, and John Lafferty
    Oct 2023
  2. Neuro/ML
    The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
    Taylor W. Webb, Steven M. Frankland, Awni Altabaa, and 6 more authors
    Trends in Cognitive Science (TICS), Sep 2023
  3. ML
    Abstractors and Relational Cross-Attention: An Inductive Bias for Explicit Relational Reasoning in Transformers
    Awni Altabaa, Taylor Webb, Jonathan Cohen, and 1 more author
    12th International Conference on Learning Representations (ICLR), Apr 2023
  4. RL
    Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
    Awni Altabaa, Bora Yongacoglu, and Serdar Yüksel
    2023 IEEE American Control Conference (ACC), Mar 2023


  1. Undergrad Project
    geneDRAGNN: Gene Disease Prioritization Using Graph Neural Networks
    Awni Altabaa, David Huang, Ciaran Byles-Ho, and 3 more authors
    2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Aug 2022