Pascal Sturmfels

According to our database, Pascal Sturmfels authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Automated Brain Masking of Fetal Functional MRI with Open Data.

Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine L. Hect, Jenna Wiens, Marion I. van den Heuvel, Dustin Scheinost, Chandra Sekhar Sripada, Moriah E. Thomason

Neuroinformatics, 2022

2021

FoggySight: A Scheme for Facial Lookup Privacy.

Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno

Proc. Priv. Enhancing Technol., 2021

Improving performance of deep learning models with axiomatic attribution priors and expected gradients.

Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee

Nat. Mach. Intell., 2021

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks.

Joseph D. Janizek, Pascal Sturmfels, Su-In Lee

J. Mach. Learn. Res., 2021

2020

Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models.

Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani

CoRR, 2020

2019

Select and permute: An improved online framework for scheduling to minimize weighted completion time.

Samir Khuller, Jingling Li, Pascal Sturmfels, Kevin Sun, Prayaag Venkat

Theor. Comput. Sci., 2019

Learning Explainable Models Using Attribution Priors.

Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee

CoRR, 2019

2018

A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images.

Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens

Proceedings of the Machine Learning for Healthcare Conference, 2018

2016

The Lair: a resource for exploratory analysis of published RNA-Seq data.

Harold Pimentel, Pascal Sturmfels, Nicolas Bray, Páll Melsted, Lior Pachter

BMC Bioinform., 2016