publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. drafting.png
    Closed Drafting as a Case Study for First-Principle Interpretability, Memory, and Generalizability in Deep Reinforcement Learning
    Ryan Rezai* and Jason Wang*
    Association for the Advancement of Artificial Intelligence (AAAI), eXplainable AI approaches for Deep Reinforcement Learning, 2024
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  2. hrr.png
    Encoding Medical Ontologies With Holographic Reduced Representations for Transformers
    Bing Hu, Trevor Yu, Tia Tuinstra, Ryan Rezai, Harshit Bokadia, Rachel DiMaio, Thomas Fortin, Brian Alex Vartian, and Bryan P. Tripp
    ACM KDD, Knowledge-Infused Learning Workshop, 2024
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2023

  1. freq.png
    Frequency Bias in MLM-trained BERT Embeddings for Medical Codes
    Bing Hu, Tia Tuinstra, Trevor Yu, Ryan Rezai, Thomas Fortin, Rachel DiMaio, Brian Alex Vartian, and Bryan P. Tripp
    Canadian Medical and Biological Engineering Conference, 2023
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