3 papers
cs.LG2025
Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer
Xinyue Hu, Zhibin Duan, Bo Chen +1
Although deep neural networks have demonstrated significant success due to their powerful expressiveness, most models struggle to meet practical requirements for uncertainty estima…
cs.LG2025
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
Xinran Song, Tianyu Chen, Mingyuan Zhou
Estimating individualized treatment effects from observational data is a central challenge in causal inference, largely due to covariate imbalance and confounding bias from non-ran…
cs.CV2024
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling
Zilyu Ye, Jinxiu Liu, Ruotian Peng +9
Recent image generation models excel at creating high-quality images from brief captions. However, they fail to maintain consistency of multiple instances across images when encoun…