publications

2024

1. 

   Boundary-Aware Uncertainty for Feature Attribution Explainers

   Davin Hill, Aria Masoomi, Max Torop, and 2 more authors

   In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 02–04 may 2024

   arXiv Bib Code Poster

   @inproceedings{pmlr-v238-hill24a,
     title = { Boundary-Aware Uncertainty for Feature Attribution Explainers },
     author = {Hill, Davin and Masoomi, Aria and Torop, Max and Ghimire, Sandesh and Dy, Jennifer},
     booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
     pages = {55--63},
     year = {2024},
     editor = {Dasgupta, Sanjoy and Mandt, Stephan and Li, Yingzhen},
     volume = {238},
     series = {Proceedings of Machine Learning Research},
     month = {02--04 May},
     publisher = {PMLR},
   }

2023

1. 

   Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank

   Davin Hill, Max Torop, Aria Masoomi, and 8 more authors

   medRxiv, 02–04 may 2023

   Bib HTML

   @article{hill2023deep,
     title = {Deep learning utilizing suboptimal spirometry data to improve lung function and mortality prediction in the UK Biobank},
     author = {Hill, Davin and Torop, Max and Masoomi, Aria and Castaldi, Peter and Silverman, Edwin K and Bodduluri, Sandeep and Bhatt, Surya P and Yun, Taedong and McLean, Cory Y and Hormozdiari, Farhad and others},
     journal = {medRxiv},
     pages = {2023--04},
     year = {2023},
     publisher = {Cold Spring Harbor Laboratory Press},
   }

2. 

   SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma

   Max Torop, Aria Masoomi, Davin Hill, and 3 more authors

   In Advances in Neural Information Processing Systems, 02–04 may 2023

   arXiv Bib Code Poster

   @inproceedings{NEURIPS2023_9ef5e965,
     author = {Torop, Max and Masoomi, Aria and Hill, Davin and Kose, Kivanc and Ioannidis, Stratis and Dy, Jennifer},
     booktitle = {Advances in Neural Information Processing Systems},
     editor = {Oh, A. and Naumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.},
     pages = {50697--50729},
     publisher = {Curran Associates, Inc.},
     title = {SmoothHess: ReLU Network Feature Interactions via Stein\textquotesingle s Lemma},
     volume = {36},
     year = {2023},
   }

2021

1. 

   Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection

   Max Torop, Sandesh Ghimire, Wenqian Liu, and 5 more authors

   NeurIPS Medical Imaging Meets NeurIPS Workshop, 02–04 may 2021

   arXiv Bib

   @article{torop2021unsupervised,
     title = {Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection},
     author = {Torop, Max and Ghimire, Sandesh and Liu, Wenqian and Brooks, Dana H and Camps, Octavia and Rajadhyaksha, Milind and Dy, Jennifer and Kose, Kivanc},
     journal = {NeurIPS Medical Imaging Meets NeurIPS Workshop},
     year = {2021},
   }

2020

1. 

   Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised images

   Max Torop, Satya VVN Kothapalli, Yu Sun, and 4 more authors

   Magnetic resonance in medicine, 02–04 may 2020

   arXiv Bib

   @article{torop2020deep,
     title = {Deep learning using a biophysical model for robust and accelerated reconstruction of quantitative, artifact-free and denoised images},
     author = {Torop, Max and Kothapalli, Satya VVN and Sun, Yu and Liu, Jiaming and Kahali, Sayan and Yablonskiy, Dmitriy A and Kamilov, Ulugbek S},
     journal = {Magnetic resonance in medicine},
     volume = {84},
     number = {6},
     pages = {2932--2942},
     year = {2020},
     publisher = {Wiley Online Library},
   }