Concept
Invariant Motif Masking Learning
A method that identifies functionally critical positions (such as motifs) through sequence-level invariance learning, used to impose protective constraints on these positions during generation.
Timeline (last 90 days)
Nov 2
LOCOGEN contains two key components: invariant motif mask learning (identifying motif positions that are critical to function and protecting them from excessive guidance) and OOD damping (penalizing generations that deviate too far from the natural distribution at background positions, but acting only on background regions).
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