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cs.LG2026
Refresh or Realize? Compute Allocation in Drifting Models
Sipeng Chen, Xu Zheng, Shibo Li
Drifting Models train a one-step generator by recomputing a finite-sample drift field at every iteration and taking an optimizer step toward the drifted target. The field says how…
cs.LG2026
Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions
Sipeng Chen, Junliang Liu, Hewei Tang +1
The source distribution in conditional flow matching is a design parameter that can be calibrated to data, not a default isotropic prior. We exploit this in Multi-Fidelity Flow Mat…
cs.LG2026
Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
Yan Zhang, Xuefeng Liu, Sipeng Chen +3
Standard Bayesian Optimization (BO) assumes uniform smoothness across the search space an assumption violated in multi-regime problems such as molecular conformation search through…