AnalysisAI ModelsNovember 4, 2026

DeepMem paper proposes byte-level architecture with fast weight memory

Read original source →arxiv.org

DeepMem pairs invertible subband transforms with fast weight memory blocks to compress sequences while preserving exact byte identity via lossless carriers and attention-based super-resolution decoding. Evaluated on FineWeb-Edu, PG19, FLORES and PIQA, it targets byte-level corruption robustness.

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