16 citations · 26 across the 4 of their papers we have counts for
4 papers
Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
Sanja Karilanova, Maxime Fabre, Emre Neftci +1
Spiking Neural Networks (SNNs) are biologically-inspired deep neural networks that efficiently extract temporal information while offering promising gains in terms of energy effici…
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik, Korneel Van den Berghe, Douwe den Blanken +97
Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research fiel…
Linear Regression with Distributed Learning: A Generalization Error Perspective
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
Distributed learning provides an attractive framework for scaling the learning task by sharing the computational load over multiple nodes in a network. Here, we investigate the per…
Optimization vs. Reinforcement Learning for Wirelessly Powered Sensor Networks
Ayca Ozcelikkale, Mehmet Koseoglu, Mani Srivastava
We consider a sensing application where the sensor nodes are wirelessly powered by an energy beacon. We focus on the problem of jointly optimizing the energy allocation of the ener…