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cs.CG2026
Beyond Homology: Non-Abelian and Orientability Invariants Sensitivity in Cellular Networks
Raghuwansh Raj, George Panagopoulos, Jun Pang
Topological deep learning (TDL) architectures are typically evaluated on synthetic complex pairs that differ in a target invariant. Yet, whether a model recovers that invariant or…
cs.LG2026
Beyond a Single Explanation of the Adam--SGD Gap
Chenxiang Zhang, Rustem Islamov, Enea Monzio Compagnoni +3
Prior work has identified several factors that can contribute to the performance gap between Adam and SGD, spanning data aspects, architecture design, and optimization properties.…