9 citations · 9 across the 6 of their papers we have counts for
3 papers · 1 filter
Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
Julien Dudas, Baptiste Carles, Elie Gouzien +2
Quantum neural networks promise to extend the power of machine learning into the quantum domain, with potential applications ranging from automatic recognition of quantum states to…
Self-Contrastive Forward-Forward Algorithm
Xing Chen, Dongshu Liu, Jeremie Laydevant +1
Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, wh…
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
Erwan Plouet, Dédalo Sanz-Hernández, Aymeric Vecchiola +2
The ability to process time-series at low energy cost is critical for many applications. Recurrent neural network, which can perform such tasks, are computationally expensive when…