From the 1 of 4 linked papers with an AI index.
4 papers
Deep Learning-based Surrogate Modelling of the LOD Method for Multiscale Problems
Marc Haltmayer, Jaemin Seo, Yuseung Lee +3
The paper introduces LOD‑MSNO, a hybrid surrogate model that combines the Localized Orthogonal Decomposition (LOD) method with neural operator learning to efficiently solve ellipti…
Unbiased and Second-Order-Free Training for High-Dimensional PDEs
Jaemin Seo, Surin Lee, Jae Yong Lee
Deep learning methods based on backward stochastic differential equations (BSDEs) have emerged as competitive alternatives to physics-informed neural networks (PINNs) for solving h…
Quantum mixture-density network for multimodal probabilistic prediction
Jaemin Seo
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown. Classical…
Multivariate unbounded quantum regression via log-ratio probabilities mitigating barren plateaus
Jaemin Seo
Quantum neural networks (QNNs) have shown remarkable potential due to their capability of representing complex functions within exponentially large Hilbert spaces. However, their a…