generative modeling 1optimal mixing 1rectified flow 1ridge regularization 1self-distillation 1velocity estimation 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ML2026
Optimal Self-Distillation for Rectified Flow via Linear Probing
Saptarshi Roy, Debepsita Mukherjee, Pratik Patil
The paper investigates how to improve rectified flow generative models by optimally mixing teacher-generated velocity fields with true velocities, deriving a closed‑form mixing coe…
cs.LG2026
On the Convergence and Straightness of Rectified Flow
Vansh Bansal, Saptarshi Roy, Alessandro Rinaldo +1
Flow Matching has become a cornerstone of modern generative models like Stable Diffusion 3, largely due to the efficiency of its Rectified Flow (RF) variant. The success of RF hing…
stat.ML2026
Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective
Saptarshi Roy, Alessandro Rinaldo, Purnamrita Sarkar
In recent years, Rectified flow (RF) has gained considerable popularity largely due to its generation efficiency and state-of-the-art performance. In this paper, we investigate the…