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Daniel Gerlinghoff

6 papers hereh-index 589 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.NE3
  • cs.AR2
  • quant-ph1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedE3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

40 citations · 79 across the 6 of their papers we have counts for

collaborators
Showing cs.ARShow all

2 papers · 1 filter

cs.AR2024★ 6 cited

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic

Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh +2

Recent advancements in neural network quantisation have yielded remarkable outcomes, with three-bit networks reaching state-of-the-art full-precision accuracy in complex tasks. The…

cs.AR2022★ 8 cited

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu +2

Spiking neural networks (SNNs) recently gained momentum due to their low-power multiplication-free computing and the closer resemblance of biological processes in the nervous syste…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.