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20242026
most citedExplore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing

2 citations · 2 across the 6 of their papers we have counts for

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cs.NE2024

Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification

Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh +2

Spiking neural networks (SNNs) for event-based optical flow are claimed to be computationally more efficient than their artificial neural networks (ANNs) counterparts, but a fair c…

cs.CV2024

TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision

Cina Arjmand, Yingfu Xu, Kevin Shidqi +6

Neuromorphic processors are well-suited for efficiently handling sparse events from event-based cameras. However, they face significant challenges in the growth of computing demand…