Min Soo Kim

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Approximate Matching

Negative Effects

Convolutional Neural Networks

Top Venues

IEEE Trans. Emerg. Top. Comput.

Publications

Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, Hyun Jin Kim, Nader Bagherzadeh
PLAM: A Posit Logarithm-Approximate Multiplier. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Min Soo Kim, Alberto A. Del Barrio, Hyun Jin Kim, Nader Bagherzadeh
The Effects of Approximate Multiplication on Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, Hyunjin Kim, Nader Bagherzadeh
PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs. CoRR (2021)
Min Soo Kim, Alberto A. Del Barrio, Hyunjin Kim, Nader Bagherzadeh
Effects of Approximate Multiplication on Convolutional Neural Networks. CoRR (2020)
Min Soo Kim, Alberto A. Del Barrio, Leonardo Tavares Oliveira, Román Hermida, Nader Bagherzadeh
Efficient Mitchell's Approximate Log Multipliers for Convolutional Neural Networks. IEEE Trans. Computers 68 (5) (2019)
Leonardo Tavares Oliveira, Min Soo Kim, Alberto A. Del Barrio García, Nader Bagherzadeh, Ricardo Menotti
Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier. ESANN (2019)
Hyun Jin Kim, Min Soo Kim, Alberto A. Del Barrio, Nader Bagherzadeh
A Cost-Efficient Iterative Truncated Logarithmic Multiplication for Convolutional Neural Networks. ARITH (2019)
Min Soo Kim, Alberto A. Del Barrio, Román Hermida, Nader Bagherzadeh
Low-power implementation of Mitchell's approximate logarithmic multiplication for convolutional neural networks. ASP-DAC (2018)