2 citations · 4 across the 6 of their papers we have counts for
7 papers
Diffusion prior for KSTAR equilibrium reconstruction under sensor dropout
Hyungkeun Nam, Jaemin Seo
We study equilibrium reconstruction for the Korea Superconducting Tokamak Advanced Research (KSTAR) device under magnetic sensor dropout, with a diffusion model as the prior. Magne…
Deep Learning-based Surrogate Modelling of the LOD Method for Multiscale Problems
Marc Haltmayer, Jaemin Seo, Yuseung Lee +3
Multiscale problems are notoriously difficult to tackle using traditional numerical methods, as accurately resolving fine-scale features often requires prohibitively fine discretiz…
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…
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…
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…
Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning
Jinsu Kim, Jaemin Seo
This research explores the application of Deep Reinforcement Learning (DRL) to optimize the design of a nuclear fusion reactor. DRL can efficiently address the challenging issues a…
Enhancing Disruption Prediction through Bayesian Neural Network in KSTAR
Jinsu Kim, Jeongwon Lee, Jaemin Seo +3
Disruption in tokamak plasmas, stemming from various instabilities, poses a critical challenge, resulting in detrimental effects on the associated devices. Consequently, the proact…