3 papers
cs.LG2026
Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
Xiao Zhang, Yafei Li, Ruixiang Wang +3
Spatiotemporal forecasting in physical systems, such as large-scale traffic networks, requires modeling a dual dynamic: continuous macroscopic rhythms and discrete, unpredictable m…
cs.AI2025
ImitDiff: Transferring Foundation-Model Priors for Distraction Robust Visuomotor Policy
Yuhang Dong, Haizhou Ge, Yupei Zeng +9
Visuomotor imitation learning policies enable robots to efficiently acquire manipulation skills from visual demonstrations. However, as scene complexity and visual distractions inc…
cs.LG2024
Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platforms
Haizhou Ge, Ruixiang Wang, Zhu-ang Xu +7
Advanced imitation learning with structures like the transformer is increasingly demonstrating its advantages in robotics. However, deploying these large-scale models on embedded p…