31 citations · 104 across the 11 of their papers we have counts for
11 papers
Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation
Zihao Wang
The proposed BSDE-based diffusion model represents a novel approach to diffusion modeling, which extends the application of stochastic differential equations (SDEs) in machine lear…
Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion
Zihao Wang, Yingyu Yang, Maxime Sermesant +2
Cross-modality data translation has attracted great interest in image computing. Deep generative models (\textit{e.g.}, GANs) show performance improvement in tackling those problem…
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang, Yuxin Ren, Zihao Wang +1
Instance-dependent label noise is realistic but rather challenging, where the label-corruption process depends on instances directly. It causes a severe distribution shift between…
spred: Solving Penalty with SGD
Liu Ziyin, Zihao Wang
We propose to minimize a generic differentiable objective with constraint using a simple reparametrization and straightforward stochastic gradient descent. Our proposal is th…
The Causal Structure of Domain Invariant Supervised Representation Learning
Zihao Wang, Victor Veitch
Machine learning methods can be unreliable when deployed in domains that differ from the domains on which they were trained. There are a wide range of proposals for mitigating this…
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
Zihao Wang, Wei Liu, Qian He +2
Training a text-to-image generator in the general domain (e.g., Dall.e, CogView) requires huge amounts of paired text-image data, which is too expensive to collect. In this paper,…