为了更好地让 SSM 捕捉长序列时序关系,文章[4]中使用了固定初始化的矩阵 A,称为 HiPPO Theory,并且提出了基于 SSM 的 Structured State Space sequence model (S4) 模型。本文中的 diffusion model 采取的就是 S4 模型。 本文中最重要的贡献在于提出了Structured State Space Diffusion(SSSD) 架构,在这里简化为...
Structured State Spaces for Sequence Modeling This repository provides the official implementations and experiments for models related to S4, including HiPPO, LSSL, SaShiMi, DSS, HTTYH, S4D, and S4ND. Project-specific information for each of these models, including overview of the source code and...
Chemical language models (CLMs) – which generate molecules in the form of molecular strings – bear particular promise for this endeavor. Here, we introduce a recent deep learning architecture, termed Structured StateSpace Sequence (S4) model, into de novo drug design. In addition to its ...
Structured State Spaces for Sequence Modeling This repository provides implementations and experiments for the following papers. S4D On the Parameterization and Initialization of Diagonal State Space Models Albert Gu, Ankit Gupta, Karan Goel, Christopher Ré Paper: https://arxiv.org/abs/2206.11893 Other...
We propose the Structured State Space sequence model (S4) based on a new parameterization for the SSM, and show that it can be computed much more efficiently than prior approaches while preserving their theoretical strengths. Our technique involves conditioning A with a low-rank correction, ...
and Re C. Efficiently modeling long sequences with structured state spaces. NeurIPS, 2022.概Mamba 系列第三作.符号说明u(t)∈Ru(t)∈R, 输入信号; x(t)∈RNx(t)∈RN, 中间状态; y(t)∈Ry(t)∈R, 输出信号S4在LSSL 中我们已经阐述了线性系统: x′(t)=Ax(t)+Bu(t),y(t)=Cx(t)+Du(...
We propose the Structured State Space sequence model (S4) based on a new parameterization for the SSM, and show that it can be computed much more efficiently than prior approaches while preserving their theoretical strengths. Our technique involves conditioning \( A \) with a low-rank ...
To account for the uneven sampling of sequence space by evolution in our downstream analysis, we reweighted sequences in proportion to their number of neighbors, defined as 90% identity, such that 90% identical clusters receive unit weight. We calculated the Meff/residue as previously described (...
The further challenge is to structure light by simultaneously combining more DoFs, for example, a “flying doughnut” pulse as a recent state-of-the-art with a beautiful electromagnetic toroidal configuration in space-time (Fig. 2f), which was observed in an experiment very recently26. The ...
Structured State Space (S4) The S4 module is found atsrc/models/sequence/ss/s4.py. For users who would like to import a single file that has the self-contained S4 layer, a standalone version can be found atsrc/models/sequence/ss/standalone/s4.py. ...