publications

2024

1. NAACL

   

   Testing the Effect of Code Documentation on Large Language Model Code Understanding

   William Macke, and Michael Doyle

   North American Association of Computational Linguistics (NAACL), 2024

   arXiv Bib PDF Poster Website

   @article{macke2024testing,
     title = {Testing the Effect of Code Documentation on Large Language Model Code Understanding},
     author = {Macke, William and Doyle, Michael},
     journal = {North American Association of Computational Linguistics (NAACL)},
     year = {2024},
     organization = {Association for Computational Linguistics},
   }

2023

1. NeurIPS

   

   Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments

   Alexander Tapley, Marissa Dotter, Michael Doyle, and 5 more authors

   Neural Information Processing Systems (NeurIPS), 2023

   arXiv Bib PDF Code Poster Website

   @article{tapley2023reinforcement,
     title = {Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments},
     author = {Tapley, Alexander and Dotter, Marissa and Doyle, Michael and Fennelly, Aidan and Gandikota, Dhanuj and Smith, Savanna and Threet, Michael and Welsh, Tim},
     journal = {Neural Information Processing Systems (NeurIPS)},
     year = {2023},
   }

2022

1. AMTA

   

   Practical Attacks on Machine Translation Using Paraphrase

   Elizabeth M. Merkhofer, John Henderson, Abigail S. Gertner, and 2 more authors

   In Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) , 2022

   Bib PDF Website

   @inproceedings{merkhofer2022practical,
     title = {Practical Attacks on Machine Translation Using Paraphrase},
     author = {Merkhofer, Elizabeth M. and Henderson, John and Gertner, Abigail S. and Doyle, Michael and Wong, Lily},
     booktitle = {Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)},
     pages = {227--239},
     year = {2022},
   }

2. Machine Learning Can Enhance Near Real-time and Far-future Preparedness against Cascades of Climate Changes Threats

   Jeffrey Richard Arnold, Dhanuj Gandikota, Jennifer Richkus, and 1 more author

   In AGU Fall Meeting Abstracts , 2022

   Bib Website

   @inproceedings{arnold2022machine,
     title = {Machine Learning Can Enhance Near Real-time and Far-future Preparedness against Cascades of Climate Changes Threats},
     author = {Arnold, Jeffrey Richard and Gandikota, Dhanuj and Richkus, Jennifer and Doyle, Michael},
     booktitle = {AGU Fall Meeting Abstracts},
     organization = {American Geophysical Union},
     volume = {2022},
     pages = {SY16A--08},
     year = {2022},
   }

2021

1. SPIE

   

   The vulnerability of UAVs: An adversarial machine learning perspective

   Michael Doyle, Josh Harguess, Keith Manville, and 1 more author

   In Geospatial Informatics XI , 2021

   Bib Website

   @inproceedings{doyle2021vulnerability,
     title = {The vulnerability of UAVs: An adversarial machine learning perspective},
     author = {Doyle, Michael and Harguess, Josh and Manville, Keith and Rodriguez, Mikel},
     booktitle = {Geospatial Informatics XI},
     volume = {11733},
     pages = {81--92},
     year = {2021},
     organization = {SPIE},
   }