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20202026
most citedModel-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time

28 citations · 33 across the 11 of their papers we have counts for

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cs.LG2026

Scalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretization

Yusuke Sakemi, Tomoya Takeuchi, Takeo Hosomi +1

Continuous-time spiking neural networks (SNNs) provide an event-driven framework for temporal computation, computational neuroscience, and neuromorphic hardware. However, training…