就像Ashish VASWANI等人(2017)所写的论文Attention is all you nee一样,S4是新型神经网络架构的基础,但不是在实践中使用的模型(有其他性能更好或更容易实现的SSM)。在此之前,先简单介绍SSM的基础知识。 SSM(State Space Model,状态空间模型)是一种用于描述时间序列数据的统计模型。它广泛应用于机器学习和统计学中,...
2.1. Mamba = Selective SSM SSM有一个明显的局限性在于它不够灵活,没有基于语境的推理能力(context-aware reasoning)。这同样来自于它的时不变性。对于任意位置的输入,SSM的参数矩阵都是固定的。因此SSM在一些任务上天然表现不好,具体的两个例子包括1)selective copying(选择性拷贝),例如把一条知乎评论中负面的词...
You can create a standard, diffuse, or Bayesian linear or nonlinear state-space model using ssm, dssm, bssm, or bnlssm, respectively. For an overview of supported state-space model forms and to learn how to create a model in MATLAB®, see Create Continuous State-Space Models for Econom...
替代Transformer的状态空间模型 | 近来,状态空间模型(State Space Model,SSM)作为一种可能替代基于自注意力的 Transformer 的方法,受到了越来越多的关注。在这项工作中,来自安徽大学、哈尔滨工业大学和北京大学的研究团队,首先对这些工作进行了全面的综述,并进行了实验比较和分析,从而更好地展示 SSM 的特点和优势。具体...
Mamba模型采用结构化状态空间模型（Structured State Space Models，SSSM）作为其基础，通过动态调整模型内部...
ARMA modelKalman filterstate space methodsunobserved componentssoftware toolsTRAMO/SEATSState Space Models (SSM) is a MATLAB toolbox for time series analysis by state space methods. The software features fully interactive construction and combination of models, with support for univariate and multivariate...
state space model -- kalman filter 最近学了金融计量,老师说Kalman Filter可以填充缺失值。一般我填充缺失值,赋值-1,或者让树模型自己填充缺失值,对于nn来说,要处理一下缺失值。 这些截图来自《银行家的计量书》,SSM可以提取时间序列中的结构性变化或者不可观测的成分,Dynamic Factor Models(DFM)也属于SSM的范畴...
DeepSSM:一个基于原始图像的统计形状建模的深度学习框架 DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images DeepSSM: Deep State-Space Model for 3D Human Motion Prediction 2018_Riddhish Bhalodia_De...
ModelA model is described in JSON, typically in a ssm.json file.S|S|M support any State Space Model built as system of ordinary or stochastic differential equations, a compartmental model, or a combination thereof.The syntax to define a model is fully described as JSON schema here....
Méthé1, Chris Field1, Christoffer M. Albertsen2, Andrew E. Derocher3, Mark A. Lewis3,4, Ian D. Jonsen5 & Joanna Mills Flemming1 State-space models (SSMs) are increasingly used in ecology to model time-series such as animal movement paths and population dynamics...