A Sinkhorn algorithm with memory solves nonlinear PDEs for control-affine Schrödinger bridges with channel mismatch and proves local stability.
Neural Schr¨odinger bridge with Sinkhorn losses: Application to data-driven minimum effort control of colloidal self-assembly,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schr\"{o}dinger Bridge Problem
A Sinkhorn algorithm with memory solves nonlinear PDEs for control-affine Schrödinger bridges with channel mismatch and proves local stability.