1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Memristive-Friendly Hadamard Reservoir Computing: Structured, Multiplier-Free Recurrences at Scale
Andrea Ceni, Gianluca Milano, Carlo Ricciardi +1
Reservoir Computing (RC) designs Recurrent Neural Networks around a fixed, i.e., untrained, recurrent layer, and is a natural candidate for neuromorphic hardware. Memristive-friend…
cond-mat.dis-nn2025★ 1 cited
Self-Organising Memristive Networks as Physical Learning Systems
Francesco Caravelli, Gianluca Milano, Adam Z. Stieg +3
Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift…