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Large parameter movement in ES need not imply widespread functional change and does not necessarily lead to catastrophic forgetting

This functional sparsity suggests that large parameter movement need not imply widespread functional change, and held-out evaluations further show that it does not necessarily lead to catastrophic forgetting.
Machine Learning30 Aug 2026

http://arxiv.org/abs/2608.27351v1