Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
... curse of memory" as a result of the recurrent weights converging to a ... stability. We validate our findings using synthetic datasets and language models.
Collections · StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization · Vision Mamba: Efficient Visual Representation ...
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization · 1 code implementation • 24 Nov 2023 • Shida Wang ...
GitHub repo: Curse-of-memory · 2. StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization (ICML 2024) · 3. State- ...
Our analysis identifies this "curse of memory" as a result of the recurrent weights converging to a stability boundary, suggesting that a reparameterization ...
Our analysis identifies this "curse of memory" as a result of the recurrent weights converging to a stability boundary, suggesting that a reparameterization ...
Theoretical Foundations of Deep Selective State-Space Models · StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization.
Jun 7, 2024 · StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization. Nov 2023. Shida Wang; Qianxiao Li. Shida ...
Jun 2, 2024 · StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization · Recurrent Natural Policy Gradient for POMDPs.
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization · Shida WangQianxiao Li. Computer Science. ArXiv. 2023. TLDR.