For visual generation, discrete autoregressive models often struggle with poor tokenizer reconstruction, difficulties in sampling from large vocabularies, and slow token-by-token generation speeds. We ...

Abstract: Learned lossless image compression has been a popular topic in recent research. While outperforming many traditional compression techniques in terms of compression ratio, the high time and ...

Abstract: Autoregressive models are ubiquitous tools for the analysis of time series in many domains such as computational neuroscience and biomedical engineering. In these domains, data is, for ...