3 papers
cs.LG2025
W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling
Hossein Babaei, Mel White, Richard G. Baraniuk
State Space Models (SSMs) have emerged as powerful components for sequence modeling, enabling efficient handling of long-range dependencies via linear recurrence and convolutional…
eess.IV2025
WaLRUS: Wavelets for Long-range Representation Using SSMs
Hossein Babaei, Mel White, Sina Alemohammad +1
State-Space Models (SSMs) have proven to be powerful tools for modeling long-range dependencies in sequential data. While the recent method known as HiPPO has demonstrated strong p…
cs.LG2025
SaFARi: State-Space Models for Frame-Agnostic Representation
Hossein Babaei, Mel White, Sina Alemohammad +1
State-Space Models (SSMs) have re-emerged as a powerful tool for online function approximation, and as the backbone of machine learning models for long-range dependent data. Howeve…