Y. Sungtaek Ju

According to our database, Y. Sungtaek Ju authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning.

Y. Sungtaek Ju

CoRR, March, 2026

Spectral Homogenization of the Radiative Transfer Equation via Low-Rank Tensor Train Decomposition.

Y. Sungtaek Ju

CoRR, February, 2026

SymPlex: A Structure-Aware Transformer for Symbolic PDE Solving.

Yesom Park, Annie C. Lu, Shao-Ching Huang, Qiyang Hu, Y. Sungtaek Ju, Stanley J. Osher

CoRR, February, 2026

2025

Uncertainty-Aware Flow Field Reconstruction Using SVGP Kolmogorov-Arnold Networks.

Y. Sungtaek Ju

CoRR, December, 2025

Uncertainty Quantification for Scientific Machine Learning using Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN).

Y. Sungtaek Ju

CoRR, December, 2025

Scalable and Interpretable Scientific Discovery via Sparse Variational Gaussian Process Kolmogorov-Arnold Networks (SVGP KAN).

Y. Sungtaek Ju

CoRR, December, 2025

2024

A positivity-preserving numerical method for a thin liquid film on a vertical cylindrical fiber.

Bohyun Kim, Hangjie Ji, Andrea L. Bertozzi, Abolfazl Sadeghpour, Y. Sungtaek Ju

J. Comput. Phys., January, 2024