Author

Bernardo Modenesi

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#artificial intelligence Preprint Aug 2026

Generalized Graph Variational Autoencoders: Bounded Divergences Control Posterior Collapse

The variational graph autoencoder (VGAE) regularizes its posterior toward the prior with the Kullback-Leibler divergence, a choice inherited from the variational autoencoder rather than argued for. We introduce the generalized graph variational autoencoder (GGVA), which replaces that term with any member of the R\'enyi...

Kleyton da Costa, Bernardo Modenesi, I. Menezes et al. · 0 citations

Preprint Aug 2026

When Should Graph Attention Be Sparse? Learning a Per-Edge Tsallis Index

LTGA is a graph attention layer whose Tsallis entropic index $q$ is learned jointly with the weights, interpolating continuously between heavy-tailed, softmax, compact-support and compact-support attention at four granularities from a global scalar to a per-edge index, under a bounded reparameterization that starts eve...

Kleyton da Costa, Bernardo Modenesi · 1 citation

Preprint Aug 2026

Prompting is not enough: supervised baselines and leakage control for measuring shared decision-making with LLMs in pediatric encounters

Zero-shot prompting alone is not sufficient to measure SDM behavior as reliably as a small supervised model, and patient-level grouping alone does not prevent leakage when labeled prompt exemplars are precomputed outside the outer evaluation loop.

Bernardo Modenesi, Jody L. Lin, Kimberly A. Kaphingst et al. · 0 citations