898 citations · 2.7k across the 20 of their papers we have counts for
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Mixed-precision training of deep neural networks using computational memory
Nandakumar S. R., Manuel Le Gallo, Irem Boybat +3
Deep neural networks have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image and speec…
Neuromorphic computing with multi-memristive synapses
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar +7
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which…
Fatiguing STDP: Learning from Spike-Timing Codes in the Presence of Rate Codes
Timoleon Moraitis, Abu Sebastian, Irem Boybat +3
Spiking neural networks (SNNs) could play a key role in unsupervised machine learning applications, by virtue of strengths related to learning from the fine temporal structure of e…
Temporal correlation detection using computational phase-change memory
Abu Sebastian, Tomas Tuma, Nikolaos Papandreou +4
For decades, conventional computers based on the von Neumann architecture have performed computation by repeatedly transferring data between their processing and their memory units…
Mixed-Precision In-Memory Computing
Manuel Le Gallo, Abu Sebastian, Roland Mathis +6
As CMOS scaling reaches its technological limits, a radical departure from traditional von Neumann systems, which involve separate processing and memory units, is needed in order t…