Oral "uncertainty quantification" Papers
8 papers found
Conference
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
Feichen Gan, Lu Youcun, Yingying Zhang et al.
NEURIPS 2025oralarXiv:2510.26026
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
NEURIPS 2025oralarXiv:2510.02216
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.
ICLR 2025oralarXiv:2502.00818
8
citations
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
Youssef Shehata, Benjamin Holzschuh, Nils Thuerey
ICLR 2025oral
3
citations
Topology-Aware Conformal Prediction for Stream Networks
Jifan Zhang, Fangxin Wang, Zihe Song et al.
NEURIPS 2025oralarXiv:2503.04981
3
citations
Transformers for Mixed-type Event Sequences
Felix Draxler, Yang Meng, Kai Nelson et al.
NEURIPS 2025oral
2
citations
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
Shikai Fang, Qingsong Wen, Yingtao Luo et al.
ICML 2024oralarXiv:2308.14906
14
citations
Using AI Uncertainty Quantification to Improve Human Decision-Making
Laura Marusich, Jonathan Bakdash, Yan Zhou et al.
ICML 2024oralarXiv:2309.10852
12
citations