2 papers
cs.RO2026
AutoPruner: Agentic Depth Pruning for Vision-Language-Action Models
Tao Lin, Yikeng Chen, Qiwei Liang +3
Layer pruning reduces the size and inference cost of vision-language-action (VLA) models, but selecting a deployable configuration requires deciding both which layers to remove and…
cs.CV2025
MEGS: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning
Jiarui Chen, Yikeng Chen, Yingshuang Zou +5
3D Gaussian Splatting (3DGS) has emerged as a dominant novel-view synthesis technique, but its high memory consumption severely limits its applicability on edge devices. A growing…