21 citations · 30 across the 12 of their papers we have counts for
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cs.LG2026
Lock-in EP: An In-Situ Training Algorithm for Oscillatory Hardware
Sowjanya Tammali, Wilkie Olin-Ammentorp
Analog hardware platforms offer the potential to reduce energy consumption over digital architectures, but in order to succeed, large-scale analog systems must also be able to oper…
cs.NE2026
Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks
Wilkie Olin-Ammentorp
State-space models (SSMs) provide a powerful theoretical framework to enable parallel training of recurrent networks. We expand on previous work adapting SSMs to spiking models to…