3 accepted papers
Electrocardiography (ECG) plays a central role in cardiovascular diagnostics, yet existing automated approaches often struggle to generalize across clinical tasks and offer limited support for open-ended reasoning. We present HeartLLM, a novel framework that integrates time-series (TS) and language
Polysemy has long been a major challenge in Mechanistic Interpretability (MI), with Sparse Autoencoders (SAEs) emerging as a promising solution. SAEs employ a shared encoder to map inputs to sparse codes, thereby amortizing inference costs across all instances. However, this parameter-sharing paradi…
Electrostatic soft actuators are known for their high power, rapid response, and accessible control. A variety of operational modalities have been achieved in electrostatic actuators; however, torsional movement remains particularly challenging and has been rarely investigated. This paper employs th