Search Results for author: Martino Sorbaro

Found 3 papers, 2 papers with code

Bio-Inspired, Task-Free Continual Learning through Activity Regularization

no code implementations8 Dec 2022 Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe

We evaluate the new sparse-recurrent version of DFC on the split-MNIST computer vision benchmark and show that only the combination of sparsity and intra-layer recurrent connections improves CL performance with respect to standard backpropagation.

Continual Learning Split-MNIST

Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision

1 code implementation6 Oct 2021 Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro

Event-based dynamic vision sensors provide very sparse output in the form of spikes, which makes them suitable for low-power applications.

Adversarial Attack Event-based vision

Cannot find the paper you are looking for? You can Submit a new open access paper.