52 citations · 159 across the 15 of their papers we have counts for
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cs.LG2025
Integrating chemical structures as treatments improves representations of microscopy images for morphological profiling
Yemin Yu, Emre Hayir, Neil Tenenholtz +5
Recent advances in self-supervised deep learning have improved our ability to quantify cellular morphological changes in high-throughput microscopy screens, a process known as morp…
cs.LG2024★ 13 cited
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Junhong Shen, Neil Tenenholtz, James Brian Hall +2
Large Language Models (LLMs) have demonstrated remarkable proficiency in understanding and generating natural language. However, their capabilities wane in highly specialized domai…