Pascal Sturmfels

According to our database¹, Pascal Sturmfels authored at least 10 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

Explainable Machine Learning and Applications in Protein-Ligand Complex Structure Prediction

[BibT_eX]

[DOI]

Pascal Sturmfels

PhD thesis, 2024

2022

Automated Brain Masking of Fetal Functional MRI with Open Data.

[BibT_eX]

[DOI]

Marion I. van den Heuvel

Dustin Scheinost

Chandra Sekhar Sripada

Moriah E. Thomason

Neuroinformatics, 2022

2021

FoggySight: A Scheme for Facial Lookup Privacy.

[BibT_eX]

[DOI]

Ivan Evtimov

Pascal Sturmfels

Tadayoshi Kohno

Proc. Priv. Enhancing Technol., 2021

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

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2021

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2019

Learning Explainable Models Using Attribution Priors.

[BibT_eX]

[DOI]

CoRR, 2019

2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

Pascal Sturmfels

Timeline

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Bibliography

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