3 papers
cs.NE2024
Unsupervised End-to-End Training with a Self-Defined Target
Dongshu Liu, Jérémie Laydevant, Adrien Pontlevy +2
Designing algorithms for versatile AI hardware that can learn on the edge using both labeled and unlabeled data is challenging. Deep end-to-end training methods incorporating phase…
quant-ph2023
Testing quantum Darwinism dependence on observers' resources
Alexandre Feller, Benjamin Roussel, Adrien Pontlevy +1
The emergence of an objective classical picture is the core question of quantum Darwinism. How does this reconstructed classical picture depends on the resources available to obser…
cond-mat.mes-hall2023
A spintronic Huxley-Hodgkin-analogue neuron implemented with a single magnetic tunnel junction
Davi R. Rodrigues, Rayan Moukhader, Yanxiang Luo +6
Spiking neural networks aim to emulate the brain's properties to achieve similar parallelism and high-processing power. A caveat of these neural networks is the high computational…