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
    HTML
  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
    Association for Computing Machinery (ACM), Knowledge-Infused Learning, 2024
    HTML

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
    HTML