32 citations · 35 across the 2 of their papers we have counts for
4 papers
Neural Trees for Learning on Graphs
Rajat Talak, Siyi Hu, Lisa Peng +1
Graph Neural Networks (GNNs) have emerged as a flexible and powerful approach for learning over graphs. Despite this success, existing GNNs are constrained by their local message-p…
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers
Siyi Hu, Fengda Zhu, Xiaojun Chang +1
Recent advances in multi-agent reinforcement learning have been largely limited in training one model from scratch for every new task. The limitation is due to the restricted model…
Multi-view Drone-based Geo-localization via Style and Spatial Alignment
Siyi Hu, Xiaojun Chang
In this paper, we focus on the task of multi-view multi-source geo-localization, which serves as an important auxiliary method of GPS positioning by matching drone-view image and s…
Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization
Siyi Hu, Luca Carlone
Markov Random Fields (MRFs) are a popular model for several pattern recognition and reconstruction problems in robotics and computer vision. Inference in MRFs is intractable in gen…