MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
Researchers introduced MaRK (Markov-adapted Recurrent Kernels), a dynamic operator-conditioning framework that maps context vectors directly into bounded modulations of a frozen State Space Model's re…