291 citations · 595 across the 20 of their papers we have counts for
3 papers · 1 filter
LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery
Bo Yuan, Wenqian Ye, Zelin Zhao +4
Evolutionary approaches to LLM-driven discovery often generate new programs from a small set of selected ancestors. This keeps contexts manageable but can omit useful evidence from…
Explaining Local, Global, And Higher-Order Interactions In Deep Learning
Samuel Lerman, Chenliang Xu, Charles Venuto +1
We present a simple yet highly generalizable method for explaining interacting parts within a neural network's reasoning process. First, we design an algorithm based on cross deriv…
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
Samuel J. Weisenthal, Caroline Quill, Samir Farooq +2
Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes prevent…