A sliced controller steers Gaussian measures to targets via averaged 1D projections and equates its energy cost exactly to the sliced Wasserstein distance.
Since ( 10) with θk sampled from σ is expected to converge to ( 14) as h → 0, we also refer to ( 14) as the ideal sliced controller
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
-
Sliced Wasserstein Steering between Gaussian Measures
A sliced controller steers Gaussian measures to targets via averaged 1D projections and equates its energy cost exactly to the sliced Wasserstein distance.