Unverified50% confidenceBenchmarkExact time
The paper claims that its method substantially outperforms Mamba and other state space models in the dynamical systems reconstruction setting.
1
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50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
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Related Claims
UnverifiedSince 2024, Mamba2 has further unified the theoretical framework of state space models and attention mechanisms, and hybrid architectures such as Jamba interleave Mamba layers with attention layers62% similarVerifiedMamba 等基于状态空间模型（SSM）的架构以线性复杂度实现序列建模，更适合实时推理61% similarVerifiedState space models represented by Mamba compress historical information by maintaining a fixed-size hidden state, with both time and space complexity of O(1) during inference.60% similarUnverified模型实际提交顺序几乎形成从左到右的三角形，源于Mamba状态空间模型的因果方向性偏置60% similarVerifiedState space models (SSMs) such as Mamba abandon the attention mechanism and use recurrent structures to achieve linear time complexity sequence modeling.60% similar
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