关注
Jacopo Teneggi
Jacopo Teneggi
CS PhD student, Johns Hopkins University
在 jhu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Fast hierarchical games for image explanations
J Teneggi, A Luster, J Sulam
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4494-4503, 2022
172022
How to trust your diffusion model: A convex optimization approach to conformal risk control
J Teneggi, M Tivnan, W Stayman, J Sulam
International Conference on Machine Learning, 33940-33960, 2023
162023
Examination-Level Supervision for Deep Learning–based Intracranial Hemorrhage Detection on Head CT Scans
J Teneggi, PH Yi, J Sulam
Radiology: Artificial Intelligence 6 (1), e230159, 2023
9*2023
Fitting splines to axonal arbors quantifies relationship between branch order and geometry
TL Athey, J Teneggi, JT Vogelstein, DJ Tward, U Mueller, MI Miller
Frontiers in Neuroinformatics 15, 704627, 2021
62021
Fourier diffusion models: A method to control mtf and nps in score-based stochastic image generation
M Tivnan, J Teneggi, TC Lee, R Zhang, K Boedeker, L Cai, GJ Gang, ...
IEEE transactions on medical imaging, 2023
52023
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
J Teneggi, B Bharti, Y Romano, J Sulam
arXiv preprint arXiv:2207.07038, 2022
5*2022
Entropy estimation within in vitro neural-astrocyte networks as a measure of development instability
J Teneggi, X Chen, A Balu, C Barrett, G Grisolia, U Lucia, R Dzakpasu
Physical Review E 103 (4), 042412, 2021
12021
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
J Teneggi, J Sulam
arXiv preprint arXiv:2405.19146, 2024
2024
How to trust your diffusion model: a convex optimization approach to conformal risk control
J Sulam, J Teneggi
High-Speed Biomedical Imaging and Spectroscopy IX, PC128530Q, 2024
2024
Multiple-instance Learning as a Framework to Explain with Shapley Coefficients
J Teneggi
Johns Hopkins University, 2022
2022
系统目前无法执行此操作,请稍后再试。
文章 1–10