3 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
Wei Deng, Yu Chen, Nicole Tianjiao Yang +3
Diffusion models have become the go-to method for large-scale generative models in real-world applications. These applications often involve data distributions confined within boun…
cs.LG2023★ 3 cited
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
Yu Chen, Wei Deng, Shikai Fang +7
The Schrödinger bridge problem (SBP) is gaining increasing attention in generative modeling and showing promising potential even in comparison with the score-based generative model…
cs.LG2023★ 3 cited
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation
Paul Hagemann, Sophie Mildenberger, Lars Ruthotto +2
Score-based diffusion models (SBDM) have recently emerged as state-of-the-art approaches for image generation. Existing SBDMs are typically formulated in a finite-dimensional setti…