Mamba: Linear-Time Sequence Modeling with Selective State Spacesarxiv.org/abs/2312.00752 github:github.com/state-spaces Intro Mamba模型最近在深度学习领域掀起了不小的热潮,国内很多一部分研究者都在追赶这个热点,通用赛道的人想着把Transformer替换成Mamba刷个热点,具体赛道的想着哪个块能换成Mamba跑上一跑。
Structured State Space Sequence Model,一种用于序列建模的新型深度学习架构,其核心是状态空间模型SSM,但更能高效处理长序列数据。S4在SSM基础上做了三点改变:1、离散化SSM;2、循环/卷积表示;3、基于HiPPO处理长序列。 离散化SSM 尽管SSM可以处理离散数据,但它最初设计时更多地针对连续时间信号,它在离散数据上训练...
灵感来自经典状态空间模型。 这些模型可以被解释为循环神经网络(RNN)和卷积神经网络(CNN)的组合, 这类模型可以非常有效地进行递归或卷积计算,序列长度呈线性或近线性缩放。 优点: 在某些数据形式中具有建模长程依赖性的原理机制,并主导了诸如长程竞技场等基准测试。许多 SSMs 在涉及连续信号数据(如音频和视觉)的领域...
在这个示例中,LinearTimeSeriesModel 是一个简单的线性层,用于对输入数据进行线性变换。SelectiveStateSpaceModel 使用LSTM(一种常见的选择性状态空间模型)来处理序列数据,并输出预测结果。CombinedModel 将这两个模型结合起来,首先通过线性层处理输入数据,然后将处理后的数据传递给选择性状态空间模型进行进一步处理。 5. ...
E.3 DNA Modeling E.3.1 Pretraining Details We describe the dataset and training procedure of the HG38 pretraining task in more detail. E.3.2 Scaling: Model Size Details Models. The models we consider are: • Transformer++: a Transformer with improved architecture, notably the usage of RoPE...
Lecture 11 of my RL course - Linear programming, policy approximation, policy gr 28 0 21:05 App From Learning Complex BehaviorsTo Learning Algorithms - Junhyuk Oh 2056 0 00:40 App CVPR'25开源 | 浙大新作Murre:纳入SfM先验,三维重建超越最先进的MVS框架! 2232 0 31:50 App 主播主播,别的un...
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Albert Gu*, Tri Dao* Paper:https://arxiv.org/abs/2312.00752 About Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall...
Mamba: Linear-time sequence modeling with selective state spaces, 2023. Gu, A., Dao, T., Ermon, S., Rudra, A., and Re, C. Hippo: Recurrent memory with optimal polynomial projections, 2020. Gu, A., Goel, K., and Ré, C. Efficiently modeling long sequences with structured state ...
目录概Mamba代码 Gu A. and Dao T. Mamba: Linear-time sequence modeling with selective state spaces. 2023. 概 Mamba. Mamba S4 和 S4D 虽然解决了 SSM 计算速度的问题, 但是有一个前提
Thomas HA, Fiering MB (1962) Mathematical synthesis of stream flow sequences for the analysis of river basin by simulation. Harward University Press, Cambrige, p 751p Google Scholar Box GE, Jenkins GM (1976) Time series analysis. Forecasting and control. Holden-Day, San Francisco MATH Google...