description The paper proposes DeepEISNN, a normalization-free learning framework based on cortical excitatory-inhibitory (E-I) circuits. By implementing E-I Init and E-I Prop, it achieves stable ...
description [ICLR 2026][SPD manifolds] This work reveals a simple product structure on Cholesky manifolds, leading to two fast and numerically stable SPD metrics (PCM and BWCM). All Riemannian ...
With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
Artificial intelligence (AI) techniques such as machine learning (ML) and particularly deep learning (DL) tools such as large language models (LLMs) (Zhao et al., 2023) have been increasingly used to ...
The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...
Finance and Business Sector, Institute of Public Administration, Riyadh, Saudi Arabia. This paper seeks to forecast the daily closing prices of advanced global stock markets by employing machine ...
bDepartment of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, 273008, India cAll India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh ...
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