4 papers
Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
Kellian Cottart, Théo Ballet, Djohan Bonnet +1
Always-on edge systems must keep learning as conditions change under tight compute budgets and must detect unreliable predictions. Bayesian binary neural networks are attractive in…
Forward-only learning in memristor arrays with month-scale stability
Adrien Renaudineau, Mamadou Hawa Diallo, Théo Dupuis +12
Turning memristor arrays from efficient inference engines into systems capable of on-chip learning has proved difficult. Weight updates have a high energy cost and cause device wea…
Intrinsic Annealing in a Hybrid Memristor-Magnetic Tunnel Junction Ising Machine
Mohammed Akib Iftakher, Hugo Levices, Kamel-Eddine Harabi +10
Hardware implementations of the Ising model offer promising solutions to large-scale optimization tasks. In the literature, various nanodevices have been shown to emulate the spin…
Bayesian continual learning and forgetting in neural networks
Djohan Bonnet, Kellian Cottart, Tifenn Hirtzlin +4
Biological synapses effortlessly balance memory retention and flexibility, yet artificial neural networks still struggle with the extremes of catastrophic forgetting and catastroph…