activity
20242026
most citedpathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

14 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2026

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…

astro-ph.IM2025

Improving Posterior Inference of Galaxy Properties with Image-Based Conditional Flow Matching

Mikaeel Yunus, John F. Wu, Benne W. Holwerda

Estimating physical properties of galaxies from wide-field surveys remains a central challenge in astrophysics. While spectroscopy provides precise measurements, it is observationa…

astro-ph.CO2025

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning

Ana Maria Delgado, Michelle Ntampaka, Sownak Bose +7

Properties of massive galaxy clusters, such as mass abundance and concentration, are sensitive to cosmology, making cluster statistics a powerful tool for cosmological studies. How…

astro-ph.IM2025

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…

astro-ph.IM2024★ 14 cited

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill +27

The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We pr…

astro-ph.IM2024

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…