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Arnav Kumar

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#machine learning Preprint Aug 2026

GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis

GraM-Diff is proposed, a unified classifier-guided Graph-Mamba diffusion framework for EEG synthesis that embeds Graph Convolutional Networks within a diffusion U-Net to model inter-electrode connectivity and Bidirectional Mamba state-space blocks for linear-complexity long-range temporal modeling.

M. Tanveer, A. Rana, Sanskriti Jain et al. · 0 citations
Review Aug 2026

Large Models for Small Devices: Recent Advances and Empirical Analysis of Edge AI Deployment

This work surveys dozens of recent works that report compression results on real hardware and extracts practical deployment guidelines from them, and deploys compact language and image models on GPU, CPU, and Raspberry Pi platforms across question answering and image segmentation.

Subhransu Das, Jiaming Cheng, Arnav Kumar et al. · 0 citations

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