The Infinity architecture comprises three core components: a bitwise multi-scale quantization tokenizer that converts image features into binary tokens to reduce computational overhead, a ...
BSQ-style VAR and REPA in autoregressive training will be supported shortly ... The minimum unit of this design consists of vector quantization (VQ), lookup-free quantization (LFQ), and binary ...
Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of ...
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