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20232026
most citedUsing the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference

66 citations · 78 across the 6 of their papers we have counts for

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cs.LG2026

Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees

Mohammed Nowaz Rabbani Chowdhury, Hsinyu Tsai, Geoffrey W. Burr +3

Sparse Mixture-of-Experts (MoE) models enable efficient scalability by activating only a small sub-set of experts per input, yet their massive parameter counts lead to substantial…