الباحثون

Radu Grosu

المنشورات 2

نسخة أولية وصول مفتوح

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 …

نسخة أولية وصول مفتوح

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

Mónika Farsang, Ramin Hasani, Daniela Rus وآخرون · 2026

State space models (SSMs) achieve efficient sequence processing because their affine state updates are closed under composition and can therefore be evaluated with an associative parallel scan. Nonlinear recurrent models can provide richer, state-dependent dynamics, but generally lose this compositional structure: para …

المؤلفون المشاركون