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Vamsi K. Potluru

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#machine learning Preprint Jul 2026

Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data

Seq2Synth is introduced, a unified benchmark for assessing temporal and schema properties to determine applicable evaluations, covering timestamp, cross-sectional, longitudinal, and structural fidelity, alongside trajectory-aware utility and privacy.

Kiwan Kwon, Kangmin Kim, Ho-Jin Lee et al. · 0 citations

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