TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
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2501.12012
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Andrey Sidorenko
spintronic
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TabularARGN: A Flexible and Efficient Auto-Regressive Framework for
Generating High-Fidelity Synthetic Data
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Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN
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Democratizing Tabular Data Access with an Open$\unicode{x2013}$Source
Synthetic$\unicode{x2013}$Data SDK
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The open source Synthetic Data SDK from MOSTLY AI:
mostlyai
offers the ability to generate realistic, privacy-safe synthetic data with just a few lines of Python.
Try it out yourself in a No Code UI in the SDK Demo Space: mostlyai/synthetic-sdk-demo
Try it out yourself in a No Code UI in the SDK Demo Space: mostlyai/synthetic-sdk-demo
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spintronic
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It's just a matter of time before all the data leakage and data scraping associated with building, training, and using AI results in some kind of major scandal.
That's why I think this paper by @spintronic is so important: Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN (2508.06647)
Glad to know that there are already researchers looking to mitigate and address this risk before the s**t hits the fan.
That's why I think this paper by @spintronic is so important: Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN (2508.06647)
Glad to know that there are already researchers looking to mitigate and address this risk before the s**t hits the fan.
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