Alec Helbling Introduces Flow Reasoning Models
ML researcher Alec Helbling presents recurrent flow-based models for structured reasoning tasks like Sudoku.
TLDR
Alec Helbling, an ML PhD student at Georgia Tech, posted about Flow Reasoning Models. The post states that he and collaborators developed a recurrent flow-based architecture to solve structured reasoning problems such as Sudoku. According to the announcement, FRMs apply continuous flows to discrete data and use self-conditioning to refine past mistakes over multiple steps. The tweet includes a 25.7-second video attachment showing a static diagram. Kosta Derpanis, an Associate Professor at York University, retweeted the announcement.
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