4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems
Sicheng Ma, Tianyue Yang, Xiuzhe Wu +1
Reconstructing high-fidelity flow fields from low-fidelity observations is a central problem in scientific machine learning, yet recent diffusion and flow-matching models typically…
cs.CL2022
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma +4
Previous work on controllable text generation has explored the idea of control from the latent space, such as optimizing a representation with attribute-related classifiers or samp…
cs.CL2022★ 4 cited
A Distributional Lens for Multi-Aspect Controllable Text Generation
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma +3
Multi-aspect controllable text generation is a more challenging and practical task than single-aspect control. Existing methods achieve complex multi-aspect control by fusing multi…