Researchers introduce conformalized simplicial neural networks for uncertainty quantification
A new arXiv paper proposes Conformalized Simplicial Neural Networks, combining simplicial neural networks with conformal prediction to provide adaptive uncertainty quantification for predictions on higher-order relational data stored on simplicial complexes.
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- 2026-11-02 05:00 · arXiv stat.ML
Adaptive Uncertainty Quantification on Simplicial Complexes with Conformalized Simplicial Neural Networks