Grant Bruer

According to our database, Grant Bruer authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Inferring ice sheet damage models from limited observations using CRIKit: the Constitutive Relation Inference Toolkit.

Grant Bruer, Tobin Isaac

CoRR, 2022

2020

GRANT: Ground-Roaming Autonomous Neuromorphic Targeter.

Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems.

Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks.

Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Design of Superconducting Optoelectronic Networks for Neuromorphic Computing.

Sonia M. Buckley, Adam N. McCaughan, Jeff Chiles, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline, Grant Bruer, James S. Plank, Catherine D. Schuman

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

2017

A programming framework for neuromorphic systems with emerging technologies.

Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture.

Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Parallel Evolutionary Optimization for Neuromorphic Network Training.

Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016