NeurIPS 2026 accepts Princeton collab paper on learning linear dynamical systems with small memory
HazanPrinceton · x · 2026-10-05
Yuval Ran Milo announced that his paper, co-authored with Hazan (Princeton) and Angelos Assos, has been accepted to NeurIPS 2026 following his visit to Princeton. The work shows how to learn linear dynamical systems with a small memory footprint; the author shared the core ideas in a thread.
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