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Preprint Oct 2026

The Batch Size Can Be One: Test-Time Adaptation from Classifier Geometry

Test-time adaptation updates a deployed model on an unlabeled test stream. In practice this stream often arrives one sample at a time, with the classes in no particular order. A single sample then provides limited information for estimating distribution-level statistics, and selecting samples by confidence can admit pr...

J. Hwang, Yujin Oh, Juhyeon Shin et al. · 0 citations
Preprint Oct 2026

Certified Adaptive List Decoding for Error-Correcting Codes

Maximum-likelihood (ML) decoding of linear block codes is NP-hard, so neural decoders are evaluated by how closely they approach it. We observe that proving a candidate optimal can be far easier than finding it, and build a decoder that does both. We cast decoding as a search over an absorbing-state discrete diffusion...

J. Hwang, Byung-Sun Won, Uiwon Hwang · 0 citations

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