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20232025
most citedGraph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2025

Theory Foundation of Physics-Enhanced Residual Learning

Shixiao Liang, Wang Chen, Keke Long +3

Intensive studies have been conducted in recent years to integrate neural networks with physics models to balance model accuracy and interpretability. One recently proposed approac…

cs.LG2023

A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction

Keke Long, Zihao Sheng, Haotian Shi +3

In vehicle trajectory prediction, physics models and data-driven models are two predominant methodologies. However, each approach presents its own set of challenges: physics models…