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Author

Abbas Rahimi

2 papers indexed here

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Preprint Oct 2026

Superposed analog memory for vector storage in neural networks

The growing memory demands of artificial neural networks pose a major challenge for energy-efficient computing, particularly for models that rely on large collections of high-dimensional weight and embedding vectors. Conventional memory architectures store these vectors individually, requiring many memory cells per vec...

A. Vasilopoulos, Patrick Diener, M. Hersche et al. · 0 citations

A foundation model with multi-variate parallel attention to generate neuronal activity

This work introduces multi-variate parallel attention (MVPA), a novel self-attention mechanism that disentangles content, temporal, and spatial attention, enabling flexible, generalizable, and efficient modeling of time-series data with varying channel counts and configurations.

F. Carzaniga, Michael Hersche, Abu Sebastian et al. · 3 citations

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