41 citations · 116 across the 34 of their papers we have counts for
Showing astro-ph.IMShow all
2 papers · 1 filter
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
Sample-efficient non-Gaussian noise reduction in gravitational wave data via learnable wavelets
Arush Pimpalkar, Digvijay Wadekar, Mark Ho-Yeuk Cheung +1
We introduce , a wavelet-based neural network architecture to identify and reduce non-Gaussian noise in gravitational wave data. Traditionally, convolutional n…