A deep state space model on rs-fMRI time series predicts Alzheimer's behavior scores better than functional connectivity approaches and identifies key predictive brain regions.
Hippo: Recurrent memory with optimal polynomial projections,
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The paper surveys techniques to speed up and reduce the resource needs of LLM inference, organized by data-level, model-level, and system-level changes, with comparative experiments on representative methods.
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Behavior Score Prediction in Resting-State Functional MRI by Deep State Space Modeling
A deep state space model on rs-fMRI time series predicts Alzheimer's behavior scores better than functional connectivity approaches and identifies key predictive brain regions.
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A Survey on Efficient Inference for Large Language Models
The paper surveys techniques to speed up and reduce the resource needs of LLM inference, organized by data-level, model-level, and system-level changes, with comparative experiments on representative methods.