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Financial Computing and Analytics Group, Robot Perception and Learning Lab, University College London
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SGD stabilizes training dynamics while Adam's reorganization of eigenvectors reveals a surprising localization effect, highlighting stark differences in optimizer behavior.
Achieving certifiable robustness in complex control tasks, this novel MPC framework ensures stability through a unique blend of Transformer networks and Riemannian contraction analysis.
