ResearchTrend.AI
Sheaves as a Framework for Understanding and Interpreting Model Fit

Sheaves as a Framework for Understanding and Interpreting Model Fit

Henry Kvinge
Brett Jefferson
C. Joslyn
Emilie Purvine
ArXiv (abs)PDFHTML

Papers citing "Sheaves as a Framework for Understanding and Interpreting Model Fit"

5 / 5 papers shown
Title
Disentangling Hyperedges through the Lens of Category Theory
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee
Junseok Lee
Sangwoo Seo
Sungwon Kim
Yeongmin Kim
Chanyoung Park
101
0
0
18 Oct 2025
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
Pavlo Vasylenko
Lennart Bastian
Sarah Osentoski
Hardik Kabaria
John L. Davenport
...
Joseph G. Kocheemoolayil
Nastaran Shahmansouri
Adrian Lew
Theodore Papamarkou
Tolga Birdal
322
1
0
27 May 2025
Quantum-Like Contextuality in Large Language Models
Quantum-Like Contextuality in Large Language Models
K. Lo
M. Sadrzadeh
Shane Mansfield
LRM
186
1
0
21 Dec 2024
Prospects for inconsistency detection using large language models and sheaves
Prospects for inconsistency detection using large language models and sheaves
Steve Huntsman
Michael Robinson
Ludmilla Huntsman
243
12
0
30 Jan 2024
A Topological-Framework to Improve Analysis of Machine Learning Model Performance
A Topological-Framework to Improve Analysis of Machine Learning Model Performance
Henry Kvinge
Colby Wight
Sarah Akers
Scott Howland
W. Choi
Xiaolong Ma
Luke J. Gosink
E. Jurrus
K. Kappagantula
Tegan H. Emerson
136
0
0
09 Jul 2021