1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks
Wonyong Cho, Taemin Kim, Jungmin Kim +2
Training large-scale deep neural networks effectively and stably is essential for applying deep learning across various fields. However, conventional methods, which rely on trainin…
physics.optics2026★ 1 cited
Quantum Nonlinearity for Optical Neural Computing
Qingyi Zhou, Jungmin Kim, Yutian Tao +4
The rapid scaling of deep neural networks comes at the cost of unsustainable power consumption. While optical neural networks offer an alternative, their capabilities remain constr…