Publications

Nicasia Beebe-Wang, Safiye Celik, Ethan Weinberger, Pascal Sturmfels, Philip L De Jager, Sara Mostafavi, Su-In Lee
January 2021 Nature communications
Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer’s disease neuropathologies
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Gabriel Erion, Joseph D Janizek, Pascal Sturmfels, Scott M Lundberg, Su-In Lee
January 2021 Nature Machine Intelligence
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
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Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno
January 2021 Proc. Priv. Enhancing Technol.
FoggySight: A Scheme for Facial Lookup Privacy.
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Joseph D Janizek, Pascal Sturmfels, Su-In Lee
January 2021 Journal of Machine Learning Research
Explaining explanations: Axiomatic feature interactions for deep networks
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Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine Hect, Jenna Wiens, Marion I van den Heuvel, Dustin Scheinost, Chandra Sripada, Moriah Thomason
January 2021 Neuroinformatics
Automated Brain Masking of Fetal Functional MRI with Open Data
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Pascal Sturmfels, Scott Lundberg, Su-In Lee
January 2020 Distill
Visualizing the impact of feature attribution baselines
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Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani
January 2020 arXiv preprint arXiv:2012.00195
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
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Samir Khuller, Jingling Li, Pascal Sturmfels, Kevin Sun, Prayaag Venkat
January 2019 Theoretical Computer Science
Select and permute: An improved online framework for scheduling to minimize weighted completion time
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Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sripada, Jenna Wiens
January 2018 Machine learning for healthcare conference
A domain guided cnn architecture for predicting age from structural brain images
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Harold Pimentel, Pascal Sturmfels, Nicolas Bray, Páll Melsted, Lior Pachter
January 2016 BMC bioinformatics
The Lair: a resource for exploratory analysis of published RNA-Seq data
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