Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

Maximum Likelihood Uncertainty Estimation: Robustness to Outliers

3 February 2022

Nico Hochgeschwender

Miguel A. Olivares-Mendez

Papers citing "Maximum Likelihood Uncertainty Estimation: Robustness to Outliers"

9 / 9 papers shown

Title
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang H. Wang B. Chen OOD 94 3 0 24 Feb 2025
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests Jose B. Castro Cheryl Rogers Camile Sothe Dominic Cyr Alemu Gonsamo 27 0 0 08 Oct 2024
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles Zi-Xiang Xia Sudeep Fadadu Yi Shi Louis Foucard AAML 36 0 0 20 Aug 2024
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 13 1 0 14 Aug 2023
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation Yingda Yin Yang Wang He-Nan Wang B. Chen 9 12 0 03 Mar 2023
Reliable Neural Networks for Regression Uncertainty Estimation Tony Tohme Kevin Vanslette K. Youcef-Toumi UQCV BDL 13 15 0 16 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014