The article discusses the development of a new model for speech enhancement called SICRN. The model uses a state space model and inplace convolution techniques to enhance speech quality, especially…
Continue readingThe paper introduces a new category of diffusion models built on state space architecture for image data. These models, called Diffusion State Space Models (DiS), treat all inputs including time,…
Continue readingThis article presents Mamba-ND, a design that extends the Mamba architecture to multi-dimensional data. Transformers, the de-facto architecture for sequence modeling, have significant compute and memory complexity. Mamba, a state…
Continue readingThe article presents Graph-Mamba, a model developed to improve long-range context modeling in graph networks. Traditional attention mechanisms used in Graph Transformers often fail to scale in large graphs due…
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