2 papers
cs.RO2026
Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation
Yu Zhang, Kangyi Ji, Yongxiang Zou +3
This paper presents an invertible neural network adapter for general robotic manipulation, designed to generate precise high-dimensional actions conditioned on multimodal observati…
cs.NE2026
Quantization Meets Spikes: Nearly Lossless Conversion at the First Timestep via Polarity Multi-Spike Mapping
Hangming Zhang, Zheng Li, Chenxiang Ma +4
Spiking neural networks (SNNs) offer advantages in computational efficiency via event-driven computing, compared to traditional artificial neural networks (ANNs). While direct trai…