Wilkie Olin-Ammentorp

18 papers B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enabling Physical AI through Biological Principles.
CoRR
Wilkie Olin-Ammentorp
2024 — conf
Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems.
ICRC
Wilkie Olin-Ammentorp
2024 J jnl
Modeling Performance of Data Collection Systems for High-Energy Physics.
CoRR
Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien
2023 — conf
Sparsifying Spiking Networks through Local Rhythms.
ICONS
Wilkie Olin-Ammentorp
2023 J jnl
Sparsifying Spiking Networks through Local Rhythms.
CoRR
Wilkie Olin-Ammentorp
2022 B conf
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks.
IJCNN
Wilkie Olin-Ammentorp, Maxim Bazhenov
2022 J jnl
Residual and Attentional Architectures for Vector-Symbols.
CoRR
Wilkie Olin-Ammentorp, Maxim Bazhenov
2021 J jnl
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms.
CoRR
Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
2021 J jnl
A dual-memory architecture for reinforcement learning on neuromorphic platforms.
Neuromorph. Comput. Eng.
Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
2021 J jnl
Bridge Networks.
CoRR
Wilkie Olin-Ammentorp, Maxim Bazhenov
2021 — conf
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations.
ICONS
Wilkie Olin-Ammentorp, Maxim Bazhenov
2021 J jnl
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks.
CoRR
Wilkie Olin-Ammentorp, Maxim Bazhenov
2021 J jnl
Stochasticity and robustness in spiking neural networks.
Neurocomputing
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
2020 J jnl
Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications.
ACM J. Emerg. Technol. Comput. Syst.
Karsten Beckmann, Wilkie Olin-Ammentorp, Gangotree Chakma, Sherif Amer, Garrett S. Rose, Chris Hobbs, Joseph Van Nostrand, Martin Rodgers, Nathaniel C. Cady
2019 J jnl
Cellular Memristive-Output Reservoir (CMOR).
CoRR
Wilkie Olin-Ammentorp, Karsten Beckmann, Nathaniel C. Cady
2019 — conf
Fabrication and Performance of Hybrid ReRAM-CMOS Circuit Elements for Dynamic Neural Networks.
ICONS
Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Wilkie Olin-Ammentorp, Nathaniel C. Cady, Ryan Weiss, Sagarvarma Sayyaparaju, Garrett S. Rose, Joseph Van Nostrand
2019 J jnl
Stochasticity and Robustness in Spiking Neural Networks.
CoRR
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
2019 — conf
Training Spiking Networks via Natural Evolution Strategies.
ICONS
Wilkie Olin-Ammentorp, Nathaniel C. Cady