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Towards Generalizable and Interpretable Motion Prediction: A Deep
  Variational Bayes Approach

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach

10 March 2024
Juanwu Lu
Wei Zhan
Masayoshi Tomizuka
Yeping Hu
    OOD
    BDL
ArXivPDFHTML

Papers citing "Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach"

3 / 3 papers shown
Title
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
105
1
0
04 Mar 2025
Quantifying Uncertainty in Motion Prediction with Variational Bayesian
  Mixture
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Juanwu Lu
Can Cui
Yunsheng Ma
Aniket Bera
Ziran Wang
39
1
0
04 Apr 2024
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
5,635
0
05 Dec 2016
1