DropIn-ESN – An ESN implementation that is robust to missing inputs

Matlab code for the Echo State Network model implementing the DropIn method to make the neural network robust to missing inputs at test times.

The code is maintained in the Github of my student Francesco Crecchi, who is to be credited for the implementation. To download the code and the scripts necessary to replicate the experiments in the DropIn paper, please go here.

The code is provided as is with no warranty and technical support. Please inform the author (Davide Bacciu) if you intend to redistribute the code.


If you find this code useful, please remember to cite:

Bacciu Davide, Crecchi Francesco, Morelli Davide: DropIn: Making Neural Networks Robust to Missing Inputs by Dropout. Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN 2017) , IEEE, 2017, ISBN: 978-1-5090-6182-2.