2026
An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based Representation
ICLR 2026poster
We introduce SEINT, a novel Special Euclidean group-Invariant (SE(\emph{p})) metric for comparing probability distributions on $p$-dimensional measured Banach spaces. Existing SE(\emph{p})-invariant alignment methods often face high computational costs or lack metric guarantees. To overcome these li…