Madelyn Shapiro

According to our database, Madelyn Shapiro authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

HyperNetX: A Python package for modeling complex network data as hypergraphs.

Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun

J. Open Source Softw., April, 2024

Model editing for distribution shifts in uranium oxide morphological analysis.

Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu

CoRR, 2024

Neural Differential Algebraic Equations.

James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona

CoRR, 2024

2023

Attributing Learned Concepts in Neural Networks to Training Data.

Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown

CoRR, 2023

Topological Analysis of Temporal Hypergraphs.

Audun Myers, Cliff A. Joslyn, Bill Kay, Emilie Purvine, Gregory Roek, Madelyn Shapiro

Proceedings of the Algorithms and Models for the Web Graph - 18th International Workshop, 2023

Experimental Observations of the Topology of Convolutional Neural Network Activations.

Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

The SVD of Convolutional Weights: A CNN Interpretability Framework.

Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang

CoRR, 2022

2021

Optimal renormalization of multi-scale systems.

Jacob Price, Brek Meuris, Madelyn Shapiro, Panos Stinis

CoRR, 2021