Max Torop

I am a PhD candidate in Prof. Jennifer Dy’s Machine Learning (ML) Lab at Northeastern University. I’m broadly interested in out-of-distribution detection, interpretable ML and self-supervised learning. I also collaborate with scientists at MSKCC, developing applications of ML to dermatology.

Before coming to Northeastern I did my Masters in CS at WUSTL, where I was a member of Prof. Ulugbek Kamilov’s Computational Imaging Group (CIG). At CIG I collaborated with Prof. Dmitriy Yablonskiy (Radiology), developing deep learning methods for MRI processing. I recieved a B.S. in Data Science from the University of Rochester in 2018.

Outside of research I love to watch anime and read. Some favorites are One Piece, Fullmetal Alchemist, Dororo, One Hundred Years of Solitude, The Stormlight Archive, Jonathan Strange and Mr. Norrell and East of Eden.

News

Apr 22, 2024	I’ll be joining Apple as an ML Research Intern this Summer!
Jan 19, 2024	Our work Boundary-Aware Uncertainty for Feature Attribution Explainers was accepted to AISTATS 2024!
Sep 22, 2023	Our work SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma was accepted to NeurIPS 2023!
May 13, 2022	Our work using contrastive learning for spirometry accepted to ATS 2022 as an oral presentation.
Jan 27, 2022	Started working as the Teaching Assistant for Professor Dy’s Advanced Machine Learning course.

Selected Publications

2024

Explanation Uncertainty with Decision Boundary Awareness

Davin Hill, Aria Masoomi, Sandesh Ghimire, and 2 more authors

International Conference on Artificial Intelligence and Statistics, 2024

arXiv Bib

@article{hill2022explanation,
  title = {Explanation Uncertainty with Decision Boundary Awareness},
  author = {Hill, Davin and Masoomi, Aria and Ghimire, Sandesh and Torop, Max and Dy, Jennifer},
  journal = {International Conference on Artificial Intelligence and Statistics},
  year = {2024},
}

2023

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, 2023

arXiv Bib Code

@inproceedings{torop2023smoothhess,
  title = {SmoothHess: ReLU Network Feature Interactions via Stein's Lemma},
  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},
  year = {2023},
}

2021

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, 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

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, 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},
}