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20202026
most citedHardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA

3 citations · 4 across the 8 of their papers we have counts for

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cs.ET2020★ 1 cited

In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling

Thomas Dalgaty, Niccolo Castellani, Damien Querlioz +1

Resistive memory technologies promise to be a key component in unlocking the next generation of intelligent in-memory computing systems that can act and learn locally at the edge.…