#flow-based models
try —
2 papers match
cs.LG2026
Flow Map Learning via Nongradient Vector Flow
Mark Goldstein, Anshuk Uppal, Raghav Singhal +2
The paper proposes SGFlow, a method that learns flow maps for diffusion and flow‑based generative models without requiring model invertibility or backpropagation through repeated m…
#generative modeling#diffusion models#flow-based models#ode inference
cs.LG2026
Native Extrapolation Awareness in Flow-Based Conditional Generation
Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste Mouret
The paper proposes Diverging Flows, a method that augments flow-based conditional generative models with built‑in detection of off‑manifold (extrapolation) inputs, improving safety…
#flow-based models#conditional generation#extrapolation detection#trustworthy AI