3 papers
cs.LG2026
Divergent Paths: Learning an Outcome-Predictive Representation of LLM Agent Trajectories
Alexander Gill, Guram Gogia, Francisco Guzmán
In this work, we reframe agentic trajectories as paths through a shared embedding space of actions and environmental observations. We show that successful and failed rollouts of th…
cs.NE2025
Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms
Rui Chen, Xingyu Chen, Yaoqing Hu +3
Spiking neural networks offer event driven computation, sparse activation, and hardware efficiency, yet training often converges slowly and lacks stability. We present Adaptive Hom…
cs.CV2025
LET-US: Long Event-Text Understanding of Scenes
Rui Chen, Xingyu Chen, Shaoan Wang +2
Event cameras output event streams as sparse, asynchronous data with microsecond-level temporal resolution, enabling visual perception with low latency and a high dynamic range. Wh…