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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ishanu Chattopadhyay

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2 papers indexed here

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Review Sep 2026

A Conditional-Distribution Framework for Validating Synthetic Multivariate Data

A model-agnostic framework based on full conditional distributions distinguishes three statistically different failure modes: loss of dependence, record reuse, and mode concentration, and provides a principled basis for validating synthetic health, surveillance, and population data.

H. Dahal, Ishanu Chattopadhyay · 0 citations
Open access Aug 2026

Synthetic Longitudinal Tabular Data Generation via Copula

Synthetic data generation is increasingly used to enable data sharing and secondary analysis while protecting participant privacy, particularly for longitudinal tabular health data, where repeated measures per subject create within-subject dependence that most synthetic data methods are not designed to preserve. Existi...

Hanchang Cai, Wen-Shan Yu, Rui-Jin Lu et al. · 0 citations

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