5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Graph Q-Learning for Combinatorial Optimization
Victoria M. Dax, Jiachen Li, Kevin Leahy +1
Graph-structured data is ubiquitous throughout natural and social sciences, and Graph Neural Networks (GNNs) have recently been shown to be effective at solving prediction and infe…
cs.RO2024★ 5 cited
Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria M. Dax, Jiachen Li, Enna Sachdeva +2
Effective interaction modeling and behavior prediction of dynamic agents play a significant role in interactive motion planning for autonomous robots. Although existing methods hav…
cs.CV2022★ 3 cited
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
Jiachen Li, Chuanbo Hua, Jinkyoo Park +3
While the modeling of pair-wise relations has been widely studied in multi-agent interacting systems, its ability to capture higher-level and larger-scale group-wise activities is…