1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
GRAMA: Adaptive Graph Autoregressive Moving Average Models
Moshe Eliasof, Alessio Gravina, Andrea Ceni +3
Graph State Space Models (SSMs) have recently been introduced to enhance Graph Neural Networks (GNNs) in modeling long-range interactions. Despite their success, existing methods e…
math.DS2023
Transitions in echo index and dependence on input repetitions
Peter Ashwin, Andrea Ceni
The echo index counts the number of simultaneously stable asymptotic responses of a nonautonomous (i.e. input-driven) dynamical system. It generalizes the well-known echo state pro…
cs.LG2023★ 1 cited
Edge of stability echo state networks
Andrea Ceni, Claudio Gallicchio
Echo State Networks (ESNs) are time-series processing models working under the Echo State Property (ESP) principle. The ESP is a notion of stability that imposes an asymptotic fadi…