44 citations · 99 across the 16 of their papers we have counts for
10 papers · 1 filter
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
Michelle Ntampaka, A. Ciprijanovic, Ana Maria Delgado +4
The application of deep machine learning methods in astronomy has exploded in the last decade, with new models showing remarkably improved performance on benchmark tasks. Not nearl…
Designing an Evaluation Framework for Large Language Models in Astronomy Research
John F. Wu, Alina Hyk, Kiera McCormick +15
Large Language Models (LLMs) are shifting how scientific research is done. It is imperative to understand how researchers interact with these models and how scientific sub-communit…
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
A Referee Primer for Early Career Astronomers
Michelle Ntampaka, Ana Bonaca, Sownak Bose +5
Refereeing is a crucial component of publishing astronomical research, but few professional astronomers receive formal training on how to effectively referee a manuscript. In this…
R2-D2: Roman and Rubin -- From Data to Discovery
Suvi Gezari, Misty Bentz, Kishalay De +28
The NASA Nancy Grace Roman Space Telescope (Roman) and the Vera C. Rubin Observatory Legacy Survey of Space and Time (Rubin), will transform our view of the wide-field sky, with si…