2 citations · 2 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2026
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group
Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile +21
Recent community assessments identify education as a principal barrier to adopting modern machine learning in astronomy. We present Deep Learning for Astrophysics, a freely availab…
astro-ph.IM2026★ 2 cited
What Understanding Means in AI-Laden Astronomy
Yuan-Sen Ting, André Curtis-Trudel, Siyu Yao
Artificial intelligence is rapidly transforming astronomical research, yet the scientific community has largely treated this transformation as an engineering challenge rather than…