Max Torop

2025

1. 

   DISCO: Disentangled Communication Steering for Large Language Models

   Max Torop, Aria Masoomi, Masih Eskandar, and 1 more author

   In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025

   arXiv

2. 

   Axiomatic Explainer Globalness via Optimal Transport

   Davin Hill, Joshua Bone, Aria Masoomi, and 2 more authors

   In International Conference on Artificial Intelligence and Statistics, 2025

   arXiv Bib Code

   @inproceedings{hill2025axiomatic,
     title = {Axiomatic Explainer Globalness via Optimal Transport},
     author = {Hill, Davin and Bone, Joshua and Masoomi, Aria and Torop, Max and Dy, Jennifer},
     booktitle = {International Conference on Artificial Intelligence and Statistics},
     pages = {1351--1359},
     year = {2025},
     organization = {PMLR},
   }

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. 

   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},
   }

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 Code

   @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},
   }