Tabular Data

Toward an Auto-Synthesizer: Stress-Aware Selection and Recommendation of Deep Tabular Generative Models

Master's thesis (UCLA): Table-Synthesizers (19 generators behind one interface) plus SYNTHONY's stress profiling, for selecting a tabular generative model without training every …

Hochan Son

• Sep 8, 2026 • 1 min read

Generative AI

SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection

Stress-aware, intent-conditioned agent that recommends the best-fit tabular generative model for a dataset instead of defaulting to one architecture.

Hochan Son

• Mar 31, 2026 • 1 min read

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Tabular Data

Toward an Auto-Synthesizer: Stress-Aware Selection and Recommendation of Deep Tabular Generative Models

SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection