Wilkie Olin-Ammentorp

According to our database, Wilkie Olin-Ammentorp authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Modeling Performance of Data Collection Systems for High-Energy Physics.

Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien

CoRR, 2024

2023

Sparsifying Spiking Networks through Local Rhythms.

Wilkie Olin-Ammentorp

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Residual and Attentional Architectures for Vector-Symbols.

Wilkie Olin-Ammentorp, Maxim Bazhenov

CoRR, 2022

Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks.

Wilkie Olin-Ammentorp, Maxim Bazhenov

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A dual-memory architecture for reinforcement learning on neuromorphic platforms.

Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov

Neuromorph. Comput. Eng., 2021

Stochasticity and robustness in spiking neural networks.

Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady

Neurocomputing, 2021

Bridge Networks.

Wilkie Olin-Ammentorp, Maxim Bazhenov

CoRR, 2021

Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations.

Wilkie Olin-Ammentorp, Maxim Bazhenov

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications.

Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, Nathaniel C. Cady

ACM J. Emerg. Technol. Comput. Syst., 2020

2019

Cellular Memristive-Output Reservoir (CMOR).

Wilkie Olin-Ammentorp, Karsten Beckmann, Nathaniel C. Cady

CoRR, 2019

Training Spiking Networks via Natural Evolution Strategies.

Wilkie Olin-Ammentorp, Nathaniel C. Cady

Proceedings of the International Conference on Neuromorphic Systems, 2019

Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks.

Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand

Proceedings of the International Conference on Neuromorphic Systems, 2019