Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey

2 November 2020

Papers citing "Modern Monte Carlo Methods for Efficient Uncertainty Quantification and Propagation: A Survey"

13 / 13 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Quantile Regression using Random Forest Proximities Mingshu Li Bhaskarjit Sarmah Dhruv Desai Joshua Rosaler Snigdha Bhagat Philip Sommer Dhagash Mehta 31 3 0 05 Aug 2024
A Value Driven Framework for Cybersecurity Innovation in Transportation & Infrastructure Lampis Alevizos Lalit Bhakuni Stefan Jaschke 25 0 0 12 May 2024
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding Kaiyuan Chen Xingzhuo Guo Yu Zhang Jianmin Wang Mingsheng Long DiffM 35 1 0 03 May 2024
Physics-informed RL for Maximal Safety Probability Estimation Hikaru Hoshino Yorie Nakahira 27 1 0 25 Mar 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods Jiaxin Zhang Kamalika Das Kumar Sricharan UQCV 29 0 0 20 Feb 2024
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth Yuqi Wang Aarzu Gupta David Carpenter Trey C Mullikin Zachary J. Reitman ... J. Salama P. Sperduto Jian-Guo Liu Mustafa R. Bashir Kyle J. Lafata 19 0 0 28 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 15 1 0 16 Nov 2023
A PAC-Bayesian Perspective on the Interpolating Information Criterion Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 32 1 0 13 Nov 2023
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang Zhuohang Li Kamalika Das Kumar Sricharan 23 2 0 31 Oct 2023
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling Jiaxin Zhang Sirui Bi Victor Fung 25 3 0 02 Dec 2022
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes Liam Hodgkinson Christopher van der Heide Fred Roosta Michael W. Mahoney UQCV 18 5 0 14 Oct 2022
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 29 24 0 25 Jun 2021