GG-SSMs dynamically build a minimum spanning tree over feature embeddings and propagate SSM state along it, claiming state-of-the-art results on vision and time-series benchmarks.
Randaugment: Practical automated data augmentation with a reduced search space
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GG-SSMs: Graph-Generating State Space Models
GG-SSMs dynamically build a minimum spanning tree over feature embeddings and propagate SSM state along it, claiming state-of-the-art results on vision and time-series benchmarks.