3 papers
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.LG2025
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation
Tianyu Chen, Yasi Zhang, Zhendong Wang +3
Diffusion models have achieved remarkable success in generating high-resolution, realistic images across diverse natural distributions. However, their performance heavily relies on…
cs.CV2024
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
Tianyu Chen, Zhendong Wang, Mingyuan Zhou
Diffusion models have recently demonstrated notable success in solving inverse problems. However, current diffusion model-based solutions typically require a large number of functi…