Matthew D. Golub

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 5

Top Topics

Reverse Engineer

Recurrent Networks

Sentiment Classification

Top Venues

Publications

Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
Universality and individuality in neural dynamics across large populations of recurrent networks. NeurIPS (2019)
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. CoRR (2019)
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
Universality and individuality in neural dynamics across large populations of recurrent networks. CoRR (2019)
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. NeurIPS (2019)
Matthew D. Golub, David Sussillo
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks. J. Open Source Softw. 3 (31) (2018)
Patrick T. Sadtler, Kristin M. Quick, Matthew D. Golub, Steven M. Chase, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Byron M. Yu, Aaron P. Batista
Neural constraints on learning. Nat. 512 (7515) (2014)
Matthew D. Golub, Steven M. Chase, Byron M. Yu
Learning an Internal Dynamics Model from Control Demonstration. ICML (1) (2013)
Matthew D. Golub, Byron M. Yu, Steven M. Chase
Internal models engaged by brain-computer interface control. EMBC (2012)