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Stable Unsupervised Continual Chunking with Sheaf SyncMap

Li, Xueyuan et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Unsupervised Continual chunking is a fundamental problem in machine learning and neuroscience, where the goal is to identify groups of states that frequently co-occur in temporal sequences. A key challenge is to form accurate chunks while maintaining their stability over time. In this work, we propo
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