20 citations · 36 across the 16 of their papers we have counts for
3 papers · 1 filter
Memory of recurrent networks: Do we compute it right?
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
Numerical evaluations of the memory capacity (MC) of recurrent neural networks reported in the literature often contradict well-established theoretical bounds. In this paper, we st…
Infinite-dimensional reservoir computing
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
Reservoir computing approximation and generalization bounds are proved for a new concept class of input/output systems that extends the so-called generalized Barron functionals to…
Risk bounds for reservoir computing
Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
We analyze the practices of reservoir computing in the framework of statistical learning theory. In particular, we derive finite sample upper bounds for the generalization error co…