RTSM: Adapting Recursive Models to Multivariate Time-Series Classification
The Recursive Time-Series Model is introduced, which combines a learned convolutional temporal tokenizer, single-state weight-tied refinement, and a pooled classification readout, and the resulting classifier combines competitive accuracy with a shared refinement module whose parameter count is independent of computati...