State‐space methods - Open Access .click

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State Space Model for New-Generation Network Alternative to Transformers: A Survey

arXiv.org
In the post-deep learning era, the Transformer architecture has demonstrated its powerful performance across pre-trained big models and various downstream tasks.
Xiao Wang +15 more
semanticscholar +1 more source

Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

Neural Information Processing Systems
The essence of multi-modal fusion lies in exploiting the complementary information inherent in diverse modalities. However, prevalent fusion methods rely on traditional neural architectures and are inadequately equipped to capture the dynamics of ...
Wen-Bing Li +4 more
semanticscholar +1 more source

Rethinking Token Reduction for State Space Models

Conference on Empirical Methods in Natural Language Processing
Recent advancements in State Space Models (SSMs) have attracted significant interest, particularly in models optimized for parallel training and handling long-range dependencies.
Zheng Zhan +8 more
semanticscholar +1 more source

State-Space Methods

, 2020
Wu-Sheng Lu, A. Antoniou
semanticscholar +1 more source

Basic State Space Methods

Introduction to Feedback Control Theory, 2019
H. Özbay
semanticscholar +1 more source

Active load control of large wind turbines using state-space methods and disturbance accommodating control