Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and
Communicating the Uncertainty of AI

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI

2 June 2021

Karthikeyan N. Ramamurthy

Jirí Navrátil

Kush R. Varshney

Papers citing "Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI"

9 / 9 papers shown

Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 46 0 0 14 Apr 2025
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 28 20 0 25 Mar 2024
Overconfident and Unconfident AI Hinder Human-AI Collaboration Jingshu Li Yitian Yang Renwen Zhang Yi-Chieh Lee 40 1 0 12 Feb 2024
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 32 1 0 17 Feb 2023
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 40 1 0 28 Oct 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization Hao Sun B. V. Breugel Jonathan Crabbé Nabeel Seedat M. Schaar 29 4 0 11 Jul 2022
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation J. Dessureault Daniel Massicotte 28 5 0 17 Jun 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 33 186 0 21 Dec 2021
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 34 6 0 01 Oct 2021