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Learning to Forecast Aleatoric and Epistemic Uncertainties over Long
  Horizon Trajectories

Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories

17 February 2023
Aastha Acharya
Rebecca L. Russell
Nisar R. Ahmed
ArXivPDFHTML

Papers citing "Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories"

5 / 5 papers shown
Title
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya
Caleb Lee
Marissa DÁlonzo
Jared Shamwell
Nisar R. Ahmed
Rebecca L. Russell
BDL
36
0
0
30 May 2024
Propagating State Uncertainty Through Trajectory Forecasting
Propagating State Uncertainty Through Trajectory Forecasting
B. Ivanovic
Yifeng Lin
Shubham Shrivastava
Punarjay Chakravarty
Marco Pavone
73
18
0
07 Oct 2021
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
200
81
0
16 Feb 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
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