学习Mamba之前呢,不妨了解一下S4,他们都有一个共同的作者Albert Gu 。 State Space Model 首先,state space model可以定义成下式 x′(t)=Ax(t)+Bu(t)y(t)=Cx(t)+Du(t) 其中x是state vector, u为input,y为output,D视为0矩阵。 在文章中,作者利用bilinear method做discretization(涉及到解微分方程和一...
Structured State-Space Model (SSM, S4) 是一个线性时不变系统 ( Linear Time Invariance, LTI), 其参数 (Δ,A,B,C) 是static的,与输入无关,i.e., data independent。 S4虽然在玩具数据集LRA上表现良好,但是在下游任务普遍拉垮。Attention机制的成功arguably可以认为是有data dependent的QKV矩阵来进行交互,...
TL;DR 部分强调，Structured State-Space Model（S4）虽然在玩具数据集 LRA 上表现出色，但在下游任务上表现不佳，核心思路是让数据依赖性影响模型参数。通过调整参数大小和结构，使其与输入数据相关联，Mamba 呈现出卓越的性能。实验部分显示了 Mamba 在各种任务上的优越表现，特别是在与 Transformer 相关...
State space models (SSM) have recently been shown to be very effective as a deep learning layer as a promising alternative to sequence models such as RNNs, CNNs, or Transformers. The first version to show this potential was the S4 model, which is particularly effective on tasks involving lo...
fMRI-S4 capture short- and long- range temporal dependencies in the signal using 1D convolutions and the recently introduced state-space models S4. The proposed architecture is lightweight, sample-efficient and robust across tasks/datasets. We validate fMRI-S4 on the tasks of diagnosing major ...
they still struggle to scale to very long sequences of 10000 or more steps. A promising recent approach proposed modeling sequences by simulating the fundamental state space model (SSM) x′(t)=Ax(t)+Bu(t),y(t)=Cx(t)+Du(t), and showed that for appropriate choices of the state matrix...
state assignment 状态分配state description 状态描述state model 状态模式state of consciousness 意识状态state of overexcitement 过分激动状态statement ability of witness 证人的陈述能力statement disturbance 陈述障碍state dependent learning 情境依赖学习情境依赖学习state dependent memory 情境关联记忆情境关联记忆state ...
Structured state space sequence models. Contribute to Sandy4321/s4-Long-Sequences-SSS development by creating an account on GitHub.
General sequence modeling framework undersrc/models/sequence/has been reorganized. The old state space modulessrc/models/sequence/ss/have been removed; the S4 module has been broken into a generic convolution block insrc/models/sequence/modules/and the inner linear SSM kernel moved tosrc/models/seq...
前不久 「Mamba」横空出世,被视为LLM时代Transformer这一基础架构的有力挑战者。当天就去下载了论文看,奈何水平有限,只懂个大概,此前甚至没听过SSM(State Space Model);怀着求知的心去看了Mamba的前身,作…