Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry. - Thomas L. Athey; Jacopo Teneggi; Joshua T. Vogelstein; Daniel Jacob Tward; Ulrich Mueller; Michael I. Miller (Frontiers Neuroinformatics, 2021)

From Shapley back to Pearson: Hypothesis Testing via the Shapley Value. - Jacopo Teneggi; Beepul Bharti; Yaniv Romano; Jeremias Sulam (CoRR, 2022)

Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT. - Jacopo Teneggi; Paul H. Yi; Jeremias Sulam (CoRR, 2022)

How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control. - Jacopo Teneggi; Matthew Tivnan; J. Webster Stayman; Jeremias Sulam (ICML, 2023)

SHAP-XRT: The Shapley Value Meets Conditional Independence Testing. - Jacopo Teneggi; Beepul Bharti; Yaniv Romano; Jeremias Sulam (Trans. Mach. Learn. Res., 2023)

Fast Hierarchical Games for Image Explanations. - Jacopo Teneggi; Alexandre Luster; Jeremias Sulam (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Testing Semantic Importance via Betting. - Jacopo Teneggi; Jeremias Sulam (NeurIPS, 2024)

I Bet You Did Not Mean That: Testing Semantic Importance via Betting. - Jacopo Teneggi; Jeremias Sulam (CoRR, 2024)

Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography. - Jacopo Teneggi; J. Webster Stayman; Jeremias Sulam (CoRR, 2025)

Aligning Explanations with Human Communication. - Jacopo Teneggi; Zhenzhen Wang; Paul H. Yi; Tianmin Shu; Jeremias Sulam (CoRR, 2025)