Madelyn Shapiro

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Learned From Training Data

Top Venues

J. Open Source Softw.

Publications

Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu
Model editing for distribution shifts in uranium oxide morphological analysis. CoRR (2024)
James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona
Neural Differential Algebraic Equations. CoRR (2024)
Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun
HyperNetX: A Python package for modeling complex network data as hypergraphs. J. Open Source Softw. 9 (96) (2024)
Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry Kvinge, Davis Brown
Attributing Learned Concepts in Neural Networks to Training Data. CoRR (2023)
Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun
HyperNetX: A Python package for modeling complex network data as hypergraphs. CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI (2023)
Audun Myers, Cliff A. Joslyn, Bill Kay, Emilie Purvine, Gregory Roek, Madelyn Shapiro
Topological Analysis of Temporal Hypergraphs. WAW (2023)
Audun Myers, Cliff A. Joslyn, Bill Kay, Emilie Purvine, Gregory Roek, Madelyn Shapiro
Topological Analysis of Temporal Hypergraphs. CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. CoRR (2022)
Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR (2022)
Jacob Price, Brek Meuris, Madelyn Shapiro, Panos Stinis
Optimal renormalization of multi-scale systems. CoRR (2021)