Multi-modal Probabilistic Prediction of Interactive Behavior via an
Interpretable Model

Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model

22 March 2019

Wei Zhan

Papers citing "Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model"

8 / 8 papers shown

Title
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 28 47 0 12 Jul 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina Mykel J. Kochenderfer EDL UQCV 21 26 0 16 Nov 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 38 25 0 03 Dec 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 29 19 0 01 Dec 2021
Dynamic Inference Aolin Xu 23 0 0 29 Nov 2021
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior Kyle Brown Katherine Driggs-Campbell Mykel J. Kochenderfer 14 19 0 15 Jun 2020
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory Liting Sun Wei Zhan Yeping Hu M. Tomizuka 9 33 0 19 Jul 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015