14 citations · 15 across the 4 of their papers we have counts for
4 papers
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
Xiaojie Yu, Haibo Zhang, Lizhi Peng +2
ReduNet is a deep neural network model that leverages the principle of maximal coding rate \textbf{redu}ction to transform original data samples into a low-dimensional, linear disc…
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution
Minfang Lu, Shuai Ning, Shuangrong Liu +4
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details. Most classical methods for such problems are bas…
A Novel Graphic Bending Transformation on Benchmark
Chunxiuzi Liu, Fengyang Sun, Qingrui Ni +2
Classical benchmark problems utilize multiple transformation techniques to increase optimization difficulty, e.g., shift for anti centering effect and rotation for anti dimension s…
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Aftab Anjum, Fengyang Sun, Lin Wang +1
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.…