8 papers
Modularity-Free Conflict-Averse Training for Generalized PINNs
Heejo Kong, Beomchul Park, Sung-Jin Kim +1
Physics-informed neural networks (PINNs) have become a powerful framework for solving PDEs by embedding physical laws into differentiable objectives. Despite their advances, traini…
Semantic Prioritization in Visual Counterfactual Explanations with Weighted Segmentation and Auto-Adaptive Region Selection
Lintong Zhang, Kang Yin, Seong-Whan Lee
In the domain of non-generative visual counterfactual explanations (CE), traditional techniques frequently involve the substitution of sections within a query image with correspond…
ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space
Jun-Hyoung Park, Ho-Jun Song, Seong-Whan Lee
Deep learning-based molecular generation models have shown great potential in efficiently exploring vast chemical spaces by generating potential drug candidates with desired proper…
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
Young-Seok Kweon, Gi-Hwan Shin, Ji-Yong Kim +2
Conscious state estimation is important in various medical settings, including sleep staging and anesthesia management, to ensure patient safety and optimize health outcomes. Tradi…
Reconstructing Unseen Sentences from Speech-related Biosignals for Open-vocabulary Neural Communication
Deok-Seon Kim, Seo-Hyun Lee, Kang Yin +1
Brain-to-speech (BTS) systems represent a groundbreaking approach to human communication by enabling the direct transformation of neural activity into linguistic expressions. While…
Functional connectivity guided deep neural network for decoding high-level visual imagery
Byoung-Hee Kwon, Minji Lee, Seong-Whan Lee
This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of high-level visual imagery for non-invasive electroencephalo…