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Neural network architecture reading list highlights state-space model research
The list’s author highlights a progression from parity and modular arithmetic to non-commutative state tracking in state-space models.
TLDR
A user shared a reading list of neural network architecture papers, highlighting a recent progression in state-space model research from parity through modular arithmetic to non-commutative state tracking. They cite a paper they say shows Mamba-3 can perform length-generalizing non-commutative state tracking (S5) with simple adjustments to its A-matrix (NPLR).
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