ROSE: RADICAL Orchestrator for Surrogate Exploration
Scientific computing faces challenges in building scalable surrogate models due to expensive simulations, complex data workflows, and tight coupling with active learning—issues …
Scientific computing faces challenges in building scalable surrogate models due to expensive simulations, complex data workflows, and tight coupling with active learning—issues …
Ventricular tachycardia (VT) is a major cause of cardiac death, and precise localization of its source via pace-mapping is critical but invasive and time-consuming. We propose a …
Ventricular tachycardia (VT) is a leading cause of sudden cardiac death, and pace-mapping-guided catheter ablation is key to treatment but remains labor-intensive and inefficient. …
Personalized cardiac models are crucial intervention tools for a multitude of cardiac health issues. As cardiac simulations become more complex and expensive, machine learning (ML) …
In this work, we argue that regularizing the global smoothness of neural functions by filling the void in between data points can further improve SSL. We present a novel SSL …
Indoor localization and mapping is an important problem with many applications such as emergency response, architectural modeling, and historical preservation. In this project, a …