arXiv Artificial Intelligence

Distributionally Robust Schr\"odinger Bridge

2 hours ago 02.10.2026 07:00 👁 2 views
Distributionally Robust Schr\"odinger Bridge

Quick summary

arXiv:2610.02043v1 Announce Type: cross Abstract: Schr\"odinger bridge (SB) learns stochastic transport between prescribed initial and target distributions. When the initial distribution shifts at test time, the learned dynamics can fail to recover the target distribution. We introduce the Distributionally Robust Schr\"odinger Bridge (DRSB), which learns a single controller that accounts for uncertainty in the initial distribution. The DRSB objective consists of control energy and a KL penalty between the resulting terminal distribution and the target distribution. DRSB seeks a single controll

Key takeaways

  • arXiv:2610.02043v1 Announce Type: cross Abstract: Schr\"odinger bridge (SB) learns stochastic transport between prescribed initial and target distributions.
  • When the initial distribution shifts at test time, the learned dynamics can fail to recover the target distribution.
  • We introduce the Distributionally Robust Schr\"odinger Bridge (DRSB), which learns a single controller that accounts for uncertainty in the initial distribution.

Why it matters

“Distributionally Robust Schr\"odinger Bridge” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗