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Sangbum Kim

3 papers hereh-index 213.3k citations62 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.ET1
  • cs.IT1
  • cs.NE1
same name
  • Sangbum Kim — 5 papers, h 9
  • Sangbum Kim — 2 papers, h 9
  • Sangbum Kim — 2 papers, h 1
  • Sangbum Kim — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedTraining a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

33 citations · 34 across the 3 of their papers we have counts for

collaborators

3 papers

cs.ET2021

Novel Weight Update Scheme for Hardware Neural Network based on Synaptic Devices Having Abrupt LTP or LTD Characteristics

Junmo Lee, Joon Hwang, Youngwoon Cho +2

Mitigating nonlinear weight update characteristics is one of the main challenges in designing neural networks based on synaptic devices. This paper presents a novel weight update m…

cs.IT2017★ 1 cited

Opportunities for Analog Coding in Emerging Memory Systems

Jesse H. Engel, S. Burc Eryilmaz, SangBum Kim +5

The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need…

cs.NE2016★ 33 cited

Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi +6

Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging…

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