2 papers
cs.AR2026
Mitigating the Impact of Retention Loss on Inference Accuracy in 65 nm Single-Poly Floating-Gate Analog In-Memory Computing
Mirko Brazzini, Giulio Filippeschi, Alessandro Catania +2
We show with experiments and system-level simulations that it is possible to successfully mitigate the impact of retention loss on inference accuracy degradation by using both circ…
cs.AR2025
Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
Giulio Filippeschi, Mirko Brazzini, Cristhopher Mosquera +4
Silicon-based analog neural networks physically embody the ideal neural network model in an approximate way. We show that by retraining the neural network using a physics-informed…