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papersTODAY 04:00 UTC

Paper Proposes Gershgorin-Based Method to Control Lipschitz Bounds in ResNets

A revised arXiv paper introduces an approach for deep residual networks that uses Gershgorin circle analysis to constrain Lipschitz constants. The work targets stability and robustness in ResNet architectures while preserving the gradient flow that makes deep residual models effective. The submission is a cross-listed replacement on arXiv's AI and machine learning categories.

arXiv ResNet Gershgorin circle theorem Lipschitz continuity deep residual networks gradient flow

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIL-Lipschitz Gershgorin ResNet Network ↗TODAY 04:00 UTC

arXiv cs.LGL-Lipschitz Gershgorin ResNet Network ↗TODAY 04:00 UTC