Matthew Farrell

According to our database, Matthew Farrell authored at least 8 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2022

Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.

Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown

Nat. Mac. Intell., November, 2022

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.

Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown

Nat. Mach. Intell., 2022

Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?

Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Autoencoder networks extract latent variables and encode these variables in their connectomes.

Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown

Neural Networks, 2021

2019

Dimensionality compression and expansion in Deep Neural Networks.

Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown

CoRR, 2019

2016

Multi-Eulerian Tours of Directed Graphs.

Matthew Farrell, Lionel Levine

Electron. J. Comb., 2016

2015

Hyperbolicity, Degeneracy, and Expansion of Random Intersection Graphs.

Matthew Farrell, Timothy D. Goodrich, Nathan Lemons, Felix Reidl, Fernando Sánchez Villaamil, Blair D. Sullivan

Proceedings of the Algorithms and Models for the Web Graph - 12th International Workshop, 2015

2006

GRACE: Generative Robust Analog Circuit Exploration.

Michael A. Terry, Jonathan Marcus, Matthew Farrell, Varun Aggarwal, Una-May O'Reilly

Proceedings of the Applications of Evolutionary Computing, 2006