1 citations · 1 across the 2 of their papers we have counts for
5 papers
WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition
Abigail G. Grassick, Jerome Tze-Hou Hsu, Ethan Lin +10
Recent advances in field technology have led to a massive influx of in-the-wild video data for ecological science. The primary bottleneck in leveraging this data is the high cost o…
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
Kai A. Horstmann, Ethan Lin, Alice A. Robie +2
Agentic AI offers a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months…
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
Xuefei, Wang, Kai A. Horstmann +9
Adapting production-level computer vision tools to bespoke scientific datasets is a critical "last mile" bottleneck. Current solutions are impractical: fine-tuning requires large a…
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
Ethan Lin, Linxi Zhao, Atharva Sehgal +1
Text-based visual descriptors--ranging from simple class names to more descriptive phrases--are widely used in visual concept discovery and image classification with vision-languag…