1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026
Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion Models
Yifan Yuan, Xiangyu Liu, Hongming Shan +5
Although text-to-image diffusion models generally exhibit strong prompt-following ability, we identify a persistent and previously underexplored failure pattern in which a small su…
stat.ML2022★ 1 cited
Prediction intervals for neural network models using weighted asymmetric loss functions
Milo Grillo, Yunpeng Han, Agnieszka Werpachowska
We propose a simple and efficient approach to generate a prediction intervals (PI) for approximated and forecasted trends. Our method leverages a weighted asymmetric loss function…