Jacopo Teneggi
Scholar

Jacopo Teneggi

Google Scholar ID: 4qzIl0EAAAAJ
CS PhD student, Johns Hopkins University
explainabilityuncertainty quantificationweakly-supervised learning
Citations & Impact
All-time
Citations
125
 
H-index
6
 
i10-index
5
 
Publications
10
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • “Conformal Risk Control for Semantic Uncertainty Quantification” posted on arXiv (2025)
  • “I Bet You Did Not Mean That: Testing Semantic Importance via Betting” accepted to NeurIPS 2024
  • “Examination-level Supervision for Deep Learning-Based Intracranial Hemorrhage Detection on Head CT” published in Radiology: Artificial Intelligence and featured on its cover (Feb 2024)
  • “SHAP-XRT: The Shapley Value Meets Conditional Independence Testing” accepted to TMLR (2023)
  • “How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control” accepted to ICML 2023
  • “Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT” received Trainee Research Prize at RSNA 2022
  • “Fast Hierarchical Games for Image Explanations” published in IEEE TPAMI (2022)
  • Co-authored “Fourier diffusion models: A method to control mtf and nps in score-based stochastic image generation” accepted to IEEE Transactions on Medical Imaging (2025)