68 citations · 188 across the 25 of their papers we have counts for
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cs.LG2020
Sparsity in Reservoir Computing Neural Networks
Claudio Gallicchio
Reservoir Computing (RC) is a well-known strategy for designing Recurrent Neural Networks featured by striking efficiency of training. The crucial aspect of RC is to properly insta…
cs.LG2020
Ring Reservoir Neural Networks for Graphs
Claudio Gallicchio, Alessio Micheli
Machine Learning for graphs is nowadays a research topic of consolidated relevance. Common approaches in the field typically resort to complex deep neural network architectures and…
cs.LG2020
Deep Randomized Neural Networks
Claudio Gallicchio, Simone Scardapane
Randomized Neural Networks explore the behavior of neural systems where the majority of connections are fixed, either in a stochastic or a deterministic fashion. Typical examples o…