Neural ODEs are great as continuous-time dynamical systems, but slow and tedious to train.
In a new #ICML2026 paper we intro a novel solver for continuous-time RNNs that does not rely on numerical integration. It's not only way faster & robust, but enables explicit analysis: arxiv.org/abs/2602.15649
