backpropagation through time 1gated architectures 1heavy-tailed noise 1recurrent neural networks 1statistical learning theory 1temporal learning 1
From the 1 of 3 linked papers with an AI index.
3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Learnability Window in Gated Recurrent Neural Networks
Lorenzo Livi
The paper develops a statistical theory describing how the gating mechanisms and optimizers in recurrent neural networks determine the maximum time span over which gradient-based l…
cs.LG2026
Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks
Lorenzo Livi
Long-range learning is hard for recurrent networks trained with stochastic gradient descent, because the influence of a past input fades with the lag , and if it fades too fa…
cs.LG2026★ 3 cited
Graph State-Space Models and Latent Relational Inference
Daniele Zambon, Andrea Cini, Cesare Alippi
State-space models effectively model multivariate time series by updating over time a representation of the system state from which predictions are made. The state representation i…