Uncertainty quantification

A survey of uncertainty in deep neural networks

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu

Citations: 1134 • 2023

Digital platforms and responsible innovation: expanding value sensitive design to overcome ontological uncertainty

Mark de Reuver, Aimee van Wynsberghe, Marijn Janssen, Ibo van de Poel

Citations: 59 • 2020

Probabilistically valid stochastic extensions of deterministic models for systems with uncertainty

Konstantinos Karydis, Ioannis Poulakakis, Jianxin Sun, Herbert G. Tanner

Citations: 38 • 2015

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy

Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, Philip R. Osteen, Bernadette Bucher, Stephen Phillips, Jiuguang Wang, Michael Everett, Nicholas Roy, Jonathan P. How

Citations: 36 • 2024

Uncertainty quantification of vibro-acoustic coupling problems for robotic manta ray models based on deep learning

Yilin Qu, Zhongbin Zhou, Leilei Chen, Haojie Lian, Xudong Li, Zhongming Hu, Yonghui Cao, Guang Pan

Citations: 30 • 2024

Positioning Accuracy Reliability Analysis of Industrial Robots Considering Epistemic Uncertainty and Correlation

Lixiong Cao, Jie Liu, Jinhe Zhang, Chao Jiang, Dequan Zhang

Citations: 29 • 2022

Methodology for model-based uncertainty quantification of the vibrational properties of machining robots

Maximilian Busch, Florian Schnoes, Amr Elsharkawy, Michael F. Zaeh

Citations: 26 • 2021

Localization Uncertainty Estimation for Anchor-Free Object Detection

Youngwan Lee, Joong‐won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, Sung Ju Hwang

Citations: 24 • 2023

Propagating State Uncertainty Through Trajectory Forecasting

Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone

Citations: 20 • 2022

Uncertainty quantification metrics for deep regression

Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker Krüger

Citations: 19 • 2024

Research on multiple‐state industrial robot system with epistemic uncertainty reliability allocation method

Bin Bai, Ze Li, Jun‐yi Zhang, De‐quan Zhang, Cheng‐wei Fei

Citations: 19 • 2020

Model Predictive Control Technique for Ducted Fan Aerial Vehicles Using Physics-Informed Machine Learning

Tayyab Manzoor, Hailong Pei, Zhongqi Sun, Zihuan Cheng

Citations: 18 • 2022

PROBE-GK: Predictive robust estimation using generalized kernels

Valentin Peretroukhin, William Vega-Brown, Nicholas Roy, Jonathan Kelly

Citations: 17 • 2016

Uncertainty quantification in deep neural networks: Techniques and applications in autonomous decision-making systems

Aditya Mehra

Citations: 14 • 2021

Expedited surrogate-based quantification of engineering tolerances using a modified polynomial regression

Amir Parnianifard, Sushank Chaudhary, Shahid Mumtaz, Lunchakorn Wuttisittikulkij, Muhammad Ali Imran

Citations: 14 • 2023

Lightweight, Uncertainty-Aware Conformalized Visual Odometry

Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, Amit Ranjan Trivedi

Citations: 13 • 2023

Detection, Quantification, and Propagation of Uncertainty in High‐Throughput Experimentation by Monte Carlo Methods

Anna Osberghaus, Pascal Baumann, Stefan Hepbildikler, S. Nath, Markus Haindl, Eric von Lieres, Jürgen Hubbuch

Citations: 11 • 2012

Dimensions of Uncertainty in Evidential Grid Maps

Thomas Reineking, Joachim Clemens

Citations: 11 • 2014

Uncertainty Quantification in Deep Learning

Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang

Citations: 11 • 2023

Multivariate Uncertainty in Deep Learning

Rebecca L. Russell, Christopher Reale

Citations: 10 • 2021