Parallel-in-Time RNN Training Speeds Up Over 100x

A NeurIPS 2026 spotlight paper combines DEER with generalized teacher forcing to speed up training of nonlinear RNNs on chaotic dynamical system time series by over 100x, supporting sequences with T>10^6 and greatly outperforming Mamba and other state space models.

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