Concepedia

Matthew Farrell

MF

7

Publications

227

Citations

7

H-Index

2015

Active since

Affiliations

University of Washington(Current)

Université de Montréal

University of Washington Applied Physics Laboratory

Mila - Quebec Artificial Intelligence Institute

Allen Institute

Matthew Farrell is an author at University of Washington specializing in computer science, engineering, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningData ScienceNeuroscienceDeep LearningNeural CircuitsSocial SciencesCognitive SciencePattern Recognition

Publications per year

2015–2022

7

Publications

7

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie et al. · Nature Communications · 2021 · 77 citations · Full text

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

Matthew Farrell, Stefano Recanatesi, Timothy C. Moore et al. · Nature Machine Intelligence · 2022 · 45 citations

Artificial Intelligence, Sequence Modelling, Engineering +8

Dimensionality compression and expansion in Deep Neural Networks

Stefano Recanatesi, Matthew Farrell, Madhu Advani et al. · arXiv (Cornell University) · 2019 · 42 citations · Full text

Geometric Learning, Engineering, Machine Learning +18

Recurrent neural networks learn robust representations by dynamically balancing compression and expansion

Matthew Farrell, Stefano Recanatesi, Guillaume Lajoie et al. · 2019 · 22 citations

Artificial Intelligence, Engineering, Machine Learning +20

CoEulerian graphs

Matthew Farrell, Lionel Levine · Proceedings of the American Mathematical Society · 2015 · 15 citations · Full text

Theory Of Computing, Directed Graph, Engineering +11

Rows per page

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