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Preprint Oct 2026

Self-Repairing Recurrent Ensembles for Real-Time Recovery from Distribution Shift

Deploying a pretrained controller exposes it to conditions that are absent from its training data. Sensor drift, outright sensor failure and accumulating measurement noise all induce a distribution shift that can collapse an otherwise competent policy; typically at a point in time where no expert is available to supply...

Julian Lemmel, P. Wendel-Garcia, Taisuke Kobayashi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Riccati State Space Models: Non-iterative Parallelization for Nonlinear Sequence Modeling

RiccatiSSM, a nonlinear SSM, in which each state dimension follows an input-conditioned Riccati differential equation, is introduced, demonstrating that state-dependent nonlinear dynamics can retain exact composability and be evaluated efficiently within a single parallel scan.

Mónika Farsang, Ramin M. Hasani, Daniela Rus et al. · 0 citations

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