2 citations · 3 across the 3 of their papers we have counts for
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stat.ML2026★ 1 cited
Stochastic dynamics learning with state-space systems
Juan-Pablo Ortega, Florian Rossmannek
This work advances the theoretical foundations of reservoir computing (RC) by providing a unified treatment of fading memory and the echo state property (ESP) in both deterministic…
stat.ML2026★ 2 cited
Echoes of the Past: A Unified Perspective on Fading memory and Echo States
Juan-Pablo Ortega, Florian Rossmannek
Recurrent neural networks (RNNs) have become increasingly popular in information processing tasks involving time series and temporal data. A fundamental property of RNNs is their a…
stat.ML2025
State-space systems as dynamic generative models
Juan-Pablo Ortega, Florian Rossmannek
A probabilistic framework to study the dependence structure induced by deterministic discrete-time state-space systems between input and output processes is introduced. General suf…