2 papers
cs.LG2026
BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
Mengyu Li, Qianqian Qu, Jun S. Liu
Generative models are often required to serve many downstream conditional tasks. In the training-free setting, a pretrained unconditional model is reused as a prior and combined wi…
stat.ML2026
TFTF: Training-Free Targeted Flow for Conditional Sampling
Qianqian Qu, Jun S. Liu
We propose a training-free conditional sampling method for flow matching models based on importance sampling. Because a naïve application of importance sampling suffers from weight…