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Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan +2
Deep brain stimulation (DBS) is an established intervention for Parkinson's disease (PD), but conventional open-loop systems lack adaptability, are energy-inefficient due to contin…
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
Shiwei Ding, Lan Zhang, Zhenlin Wang +2
Fine-tuning plays a crucial role in adapting models to downstream tasks with minimal training efforts. However, the rapidly increasing size of foundation models poses a daunting ch…
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale
Xiaoyong Yuan, Xiaolong Ma, Linke Guo +1
Diffusion models (DMs) have revolutionized text-to-image generation, enabling the creation of highly realistic and customized images from text prompts. With the rise of parameter-e…