We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...

The room we are in is locked. It is windowless and lit from above by a fluorescent bulb. In the hallway outside—two stories beneath the city of London—attendants in dark suits patrol silently, giving ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...

Abstract: There is a strong relation between sparse signal recovery and error control coding. It is known that burst errors are block sparse in nature. So, here we ...

Abstract: Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. In order to reduce ...