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Nov 24, 2023 · Our analysis identifies this "curse of memory" as a result of the recurrent weights converging to a stability boundary, suggesting that a ...
Nov 22, 2023 · The authors demonstrate that the model structure of state-space models does not address the curse of memory phenomenon, and proposed the stable ...
Jun 5, 2024 · Our analysis identifies this “curse of memory” as a result of the recurrent weights converging to a stability boundary, suggesting that a ...
May 1, 2024 · Our analysis identifies this ``curse of memory'' as a result of the recurrent weights converging to a stability boundary, suggesting that a ...
People also ask
What is state-space representation in stability of dynamic system?
The state-space representation is a mathematical model of a physical system with the input, output and state variables composed by first-order differential equations. The state-space representation gives a suitable and compact way to model and analyze systems with multiple inputs and outputs.
What is a state space model in simple terms?
State-space models are models that use state variables to describe a system by a set of first-order differential or difference equations, rather than by one or more nth-order differential or difference equations.
Our analysis identifies this ``curse of memory'' as a result of the recurrent weights converging to a stability boundary, suggesting that a reparameterization ...
Nov 24, 2023 · ... reparameterization exhibit a memory ... StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization ... State-space Models in Language Modelling. S Wang.
Curse of memory refers to the difficulty of learning long-term memory using recurrent models. Although recurrent models benefit from low inference costs, ...