Unverified50% confidenceFactExact time
Mamba-2 builds on selective state space models by introducing a more structured state transition matrix, expressing the state update in matrix multiplication form, thereby achieving higher throughput during training.
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10/16/2026
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UnverifiedLand surface forecasting systems based on Mamba-series structured state space models absorb non-stationary confounding events into the state transition matrix, leading to persistent prediction bias.72% similarUnverifiedTypical representatives of state space models include S4, Mamba and others, which write the recurrence as a continuous differential equation or discrete linear recurrence and achieve efficient parallel training with the help of convolution or selective scan.71% similarUnverifiedMamba-2, Gated DeltaNet and KDA are three new state update mechanisms used to replace some attention layers, achieving efficient state memory through a recursive structure with linear complexity.71% similarUnverifiedThe SSD (State Space Duality) framework proposed by Mamba-2 reveals that SSMs with a specific structure are mathematically equivalent to a masked form of linear attention, allowing training to be parallelized using matrix multiplication.71% 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69% similar
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