2 papers
cs.LG2026
Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models
Yeongmin Kim, Donghyeok Shin, Byeonghu Na +3
Diffusion models have demonstrated strong generative performance; however, generated samples often fail to fully align with human intent. This paper studies an efficient test-time…
cs.RO2025
HomeEmergency -- Using Audio to Find and Respond to Emergencies in the Home
James F. Mullen, Dhruva Kumar, Xuewei Qi +4
In the United States alone accidental home deaths exceed 128,000 per year. Our work aims to enable home robots who respond to emergency scenarios in the home, preventing injuries a…