74 citations · 76 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2023★ 2 cited
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…
astro-ph.IM2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan"
J. Amundson, J. Annis, C. Avestruz +27
We present a response to the 2018 Request for Information (RFI) from the NITRD, NCO, NSF regarding the "Update to the 2016 National Artificial Intelligence Research and Development…
astro-ph.CO2018★ 74 cited
DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks
João Caldeira, W. L. Kimmy Wu, Brian Nord +3
Next-generation cosmic microwave background (CMB) experiments will have lower noise and therefore increased sensitivity, enabling improved constraints on fundamental physics parame…