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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…
stat.ME2026
Factor Analysis of Multivariate Stochastic Volatility Model
Taehee Lee, Jun S. Liu
Modeling the time-varying covariance structures of high-dimensional variables is critical across diverse scientific and industrial applications; however, existing approaches exhibi…