19 citations · 19 across the 3 of their papers we have counts for
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cs.LG2021
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Neuromorphic data carries information in spatio-temporal patterns encoded by spikes. Accordingly, a central problem in neuromorphic computing is training spiking neural networks (S…
cs.LG2018★ 19 cited
Learning First-to-Spike Policies for Neuromorphic Control Using Policy Gradients
Bleema Rosenfeld, Osvaldo Simeone, Bipin Rajendran
Artificial Neural Networks (ANNs) are currently being used as function approximators in many state-of-the-art Reinforcement Learning (RL) algorithms. Spiking Neural Networks (SNNs)…