120 citations · 256 across the 9 of their papers we have counts for
9 papers
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Nathan Leroux, Jan Finkbeiner, Emre Neftci
Transformers are state-of-the-art networks for most sequence processing tasks. However, the self-attention mechanism often used in Transformers requires large time windows for each…
Multilayer spintronic neural networks with radio-frequency connections
Andrew Ross, Nathan Leroux, Arnaud de Riz +18
Spintronic nano-synapses and nano-neurons perform complex cognitive computations with high accuracy thanks to their rich, reproducible and controllable magnetization dynamics. Thes…
Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
Nathan Leroux, Danijela Marković, Dédalo Sanz-Hernández +8
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to healt…
Convolutional Neural Networks with Radio-Frequency Spintronic Nano-Devices
Nathan Leroux, Arnaud De Riz, Dédalo Sanz-Hernández +3
Convolutional neural networks are state-of-the-art and ubiquitous in modern signal processing and machine vision. Nowadays, hardware solutions based on emerging nanodevices are des…
Hardware realization of the multiply and accumulate operation on radio-frequency signals with magnetic tunnel junctions
Nathan Leroux, Alice Mizrahi, Danijela Markovic +7
Artificial neural networks are a valuable tool for radio-frequency (RF) signal classification in many applications, but digitization of analog signals and the use of general purpos…
Tuning the performance of a micrometer-sized Stirling engine through reservoir engineering
Niloyendu Roy, Nathan Leroux, A K Sood +1
Colloidal heat engines are paradigmatic models to understand the conversion of heat into work in a noisy environment - a domain where biological and synthetic nano/micro machines f…