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Found 2 papers, 2 papers with code
Simplified State Space Layers for Sequence Modeling
Models using structured state space sequence (S4) layers have achieved state-of-the-art performance on long-range sequence modeling tasks.
Ranked #3 on
Long-range modeling
on LRA
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
The results are a trained SLDS variant that closely approximates the RNN, an auxiliary function that can produce a fixed point for each point in state-space, and a trained nonlinear RNN whose dynamics have been regularized such that its first-order terms perform the computation, if possible.
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