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20242026
most citedBlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems

2 citations · 3 across the 4 of their papers we have counts for

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cs.ET2025

First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing

Saitao Zhang, Yubiao Luo, Shiqing Wang +5

Second-order optimization methods, which leverage curvature information, offer faster and more stable convergence than first-order methods such as stochastic gradient descent (SGD)…

cs.ET2025★ 1 cited

Modeling Closed-loop Analog Matrix Computing Circuits with Interconnect Resistance

Mu Zhou, Junbin Long, Yubiao Luo +1

Analog matrix computing (AMC) circuits based on resistive random-access memory (RRAM) have shown strong potential for accelerating matrix operations. However, as matrix size grows,…