Willem Diepeveen

New optimization framework leverages Riemannian geometry for learned data manifolds

Researchers have introduced a new framework called iso-Riemannian optimization to address challenges in performing optimization tasks on learned data manifolds. This approach extends classical Riemannian optimization by…