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Transductive Spiking Graph Neural Networks for Loihi
We showcase the performance benefits of combining neuromorphic Bayesian optimization with our approach for citation graph classification using fixed-precision spiking neurons.
Neuromorphic Bayesian Optimization in Lava
The ever-increasing demands of computationally expensive and high-dimensional problems require novel optimization methods to find near-optimal solutions in a reasonable amount of time.
Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras
Specifically, the sensory information generated by event-based image sensors are orders of magnitude sparser compared to that of RGB sensors.
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