87 citations
- Yonsei UniversityKR6 papers
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Showing cs.LGShow all
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cs.LG2025
Interaction as Interference: A Quantum-Inspired Aggregation Approach
Pilsung Kang
Classical approaches often treat interaction as engineered product terms or as emergent patterns in flexible models, offering little control over how synergy or antagonism arises.…
cs.LG2021★ 57 cited
PLAM: a Posit Logarithm-Approximate Multiplier
Raul Murillo, Alberto A. Del Barrio, Guillermo Botella +3
The Posit Number System was introduced in 2017 as a replacement for floating-point numbers. Since then, the community has explored its application in Neural Network related tasks a…
cs.LG2020★ 73 cited
The Effects of Approximate Multiplication on Convolutional Neural Networks
Min Soo Kim, Alberto A. Del Barrio, HyunJin Kim +1
This paper analyzes the effects of approximate multiplication when performing inferences on deep convolutional neural networks (CNNs). The approximate multiplication can reduce the…