ProfessorsProfessors of Boston CollegeJ. Elisenda Grigsby

J. Elisenda Grigsby

Boston College

H-index: 13

North America-United States

About J. Elisenda Grigsby

J. Elisenda Grigsby, With an exceptional h-index of 13 and a recent h-index of 8 (since 2020), a distinguished researcher at Boston College, specializes in the field of Low-dimensional topology, knot theory, computational topology, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hidden symmetries of ReLU networks

Functional dimension of feedforward ReLU neural networks

Local and global topological complexity measures of relu neural network functions

On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks

J. Elisenda Grigsby Information

University	Boston College
Position	___
Citations(all)	480
Citations(since 2020)	193
Cited By	373
hIndex(all)	13
hIndex(since 2020)	8
i10Index(all)	13
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Boston College
Google Scholar	View Google Scholar Profile

J. Elisenda Grigsby Skills & Research Interests

Low-dimensional topology

knot theory

computational topology

machine learning

Top articles of J. Elisenda Grigsby

Title	Journal	Author(s)	Publication Date
Hidden symmetries of ReLU networks		Elisenda Grigsby Kathryn Lindsey David Rolnick	2023/7/3
Functional dimension of feedforward ReLU neural networks	arXiv preprint arXiv:2209.04036	J Elisenda Grigsby Kathryn Lindsey Robert Meyerhoff Chenxi Wu	2022/9/8
Local and global topological complexity measures of relu neural network functions	arXiv preprint arXiv:2204.06062	J Elisenda Grigsby Kathryn Lindsey Marissa Masden	2022/4/12
On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks	SIAM Journal on Applied Algebra and Geometry	J Elisenda Grigsby Kathryn Lindsey	2022