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    Alec Helbling Introduces Flow Reasoning Models

    ML researcher Alec Helbling presents recurrent flow-based models for structured reasoning tasks like Sudoku.

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    4 Sources, 27d ago, first seen 27d ago

    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.

    Combined views

    121.3K

    4 Sources, first seen 27d ago

    Combined views

    121.3K

    4 Sources, first seen 27d ago

    2.9K likes
    2.9K likes
    53 comments
    2.4K saves
    822 reposts

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    53 comments
    2.4K saves
    822 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    4 Sources

    @alec_helblingIntroducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured reasoning problems (e.g., Sudoku). FRMs apply continuous flows to discrete data and recurrently refine their past mistakes through self-conditioning.
    @CSProfKGDRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…
    @TheGradientRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…
    @NandoDFRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…

    4 Sources

    @alec_helblingIntroducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured reasoning problems (e.g., Sudoku). FRMs apply continuous flows to discrete data and recurrently refine their past mistakes through self-conditioning.
    @CSProfKGDRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…
    @TheGradientRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…
    @NandoDFRT @alec_helbling: Introducing Flow Reasoning Models. We developed a recurrent flow-based architecture to efficiently solve structured rea…