4 citations · 5 across the 11 of their papers we have counts for
5 papers · 1 filter
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…
Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing
Sara Malacarne, Andrea Ceni, Claudio Gallicchio
Reservoir computing (RC) couples a fixed recurrent dynamical system with a trained lightweight readout, but this efficiency is partly lost during hyperparameter selection: the recu…
Frequency Domain Reservoir Computing
Klaus Schertler, Xiomara Runge, Andrea Ceni +2
While the quadratic sequence-length bottleneck of transformers has fueled a resurgence in recurrent models, effectively capturing complex dynamics requires architectures that balan…
Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio +1
Memristive devices present a promising foundation for next-generation information processing by combining memory and computation within a single physical substrate. This unique cha…
ParalESN: Enabling parallel information processing in Reservoir Computing
Matteo Pinna, Giacomo Lagomarsini, Andrea Ceni +1
Reservoir Computing (RC) has established itself as an efficient paradigm for temporal processing. However, its scalability remains severely constrained by the need to process tempo…