7 citations · 7 across the 4 of their papers we have counts for
4 papers
On the Decompositionality of Neural Networks
Junyong Lee, Baek-Ryun Seong, Sang-Ki Ko +5
Recent advances in deep neural networks have achieved state-of-the-art performance across vision and natural language processing tasks. In practice, however, most models are treate…
Enhancing Circuit Trainability with Selective Gate Activation Strategy
Jeihee Cho, Junyong Lee, Daniel Justice +1
Hybrid quantum-classical computing relies heavily on Variational Quantum Algorithms (VQAs) to tackle challenges in diverse fields like quantum chemistry and machine learning. Howev…
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
Junyong Lee, JeiHee Cho, Shiho Kim
In the Noisy Intermediate-Scale Quantum (NISQ) era, using variational quantum algorithms (VQAs) to solve optimization problems has become a key application. However, these algorith…
Carrot and Stick: Inducing Self-Motivation with Positive & Negative Feedback
Jimin Sohn, Jeihee Cho, Junyong Lee +3
Positive thinking is thought to be an important component of self-motivation in various practical fields such as education and the workplace. Previous work, including sentiment tra…