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Achieving exponential improvements in lower bounds for space complexity in multi-word single-writer register simulations could redefine our understanding of concurrent data structures.
Unsupervised blind source recovery gets a boost from StrTransformer, which learns disentangled, interpretable latent source trajectories by directly optimizing a latent source matrix with source-wise structured Transformers.
