Fisher width evolution along learning trajectories is studied, with training loss as a coordinate. Population gradient f...

Fisher width evolution along learning trajectories is studied, with training loss as a coordinate. Population gradient flow asymptotically selects the teacher-aligned state.Source: arXiv cs.LGhttps://arxiv.org/abs/2608.21561#MachineLearning

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