918 citations · 2.5k across the 22 of their papers we have counts for
25 papers
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas +6
The latest satellite communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the tempo…
A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces
Yiming Ai, Bipin Rajendran
Brain-computer interfaces are being explored for a wide variety of therapeutic applications. Typically, this involves measuring and analyzing continuous-time electrical brain activ…
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone +2
Bayesian Neural Networks (BNNs) can overcome the problem of overconfidence that plagues traditional frequentist deep neural networks, and are hence considered to be a key enabler f…
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…
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld, Bipin Rajendran, Osvaldo Simeone
Spiking Neural Networks (SNNs) have recently gained popularity as machine learning models for on-device edge intelligence for applications such as mobile healthcare management and…
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks
Vinay Joshi, Wangxin He, Jae-sun Seo +1
The cost involved in training deep neural networks (DNNs) on von-Neumann architectures has motivated the development of novel solutions for efficient DNN training accelerators. We…