2 papers
cs.CV2025
ResNet: Enabling Deep Convolutional Neural Networks through Residual Learning
Xingyu Liu, Kun Ming Goh
Convolutional Neural Networks (CNNs) has revolutionized computer vision, but training very deep networks has been challenging due to the vanishing gradient problem. This paper expl…
quant-ph2025
Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
Kun Ming Goh
Generative adversarial networks (GANs) have emerged as a powerful paradigm for producing high-fidelity data samples, yet their performance is constrained by the quality of latent r…