Mike Erlihson: State-Space Models and Deep Learning: Is there a new revolution on our doorstep?
State-space models (SSMs) have advanced from dynamic system tools to deep learning architectures like Mamba (S6),
which combine parallel training with efficient inference for long sequences. This lecture covers SSMs’ evolution and impact on sequential data modeling
