2 papers
cs.CV2024
Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation
Shoukun Sun, Min Xian, Tiankai Yao +2
Producing large images using small diffusion models is gaining increasing popularity, as the cost of training large models could be prohibitive. A common approach involves jointly…
cs.LG2023
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
Longze Li, Jiang Chang, Aleksandar Vakanski +3
With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted…