Reliable Neural Networks for Regression Uncertainty Estimation

16 September 2021

Papers citing "Reliable Neural Networks for Regression Uncertainty Estimation"

9 / 9 papers shown

Title
ISR: Invertible Symbolic Regression Tony Tohme M. J. Khojasteh Mohsen Sadr Florian Meyer Kamal Youcef-Toumi 43 0 0 10 May 2024
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction Aadi Kothari Tony Tohme Xiaotong Zhang Kamal Youcef-Toumi 3DH 29 7 0 05 Oct 2023
Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity Pascal Pernot 17 9 0 12 Sep 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 30 3 0 07 Jun 2023
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization R. Rathnakumar Yutian Pang Yongming Liu 14 7 0 14 Feb 2023
Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging M. Laves Sontje Ihler J. F. Fast L. Kahrs T. Ortmaier OOD UQCV BDL 30 29 0 26 Apr 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
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013