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An Improved Measurement of the Secondary Cosmic Microwave Background Anisotropies from the SPT-SZ + SPTpol Surveys, , , , , , , , , and 67 other author(s). (2020)cite arxiv:2002.06197Comment: Submitted to ApJ, 16 pages. arXiv admin note: text overlap with arXiv:1408.3161.Optimal CMB Lensing Reconstruction and Parameter Estimation with SPTpol Data, , , , , , , , , and 59 other author(s). (2020)cite arxiv:2012.01709Comment: 27 pages, 14 figures, accompanying software package available at https://cosmicmar.com/CMBLensing.jl.Response to NITRD, NCO, NSF Request for Information on Üpdate to the 2016 National Artificial Intelligence Research and Development Strategic Plan"., , , , , , , , , and 20 other author(s). CoRR, (2019)A Detection of CMB-Cluster Lensing using Polarization Data from SPTpol, , , , , , , , , and 119 other author(s). (2019)cite arxiv:1907.08605Comment: 10 pages, 3 figures, 1 table; to be submitted to PRL; comments welcome.Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck II: Cross-correlation measurements and cosmological constraints, , , , , , , , , and 156 other author(s). (2022)cite arxiv:2203.12440Comment: 25 pages, 19 figures, to be submitted to PRD.BICEP / Keck XIV: Improved constraints on axion-like polarization oscillations in the cosmic microwave background, , , , , , , , , and 83 other author(s). (2021)cite arxiv:2108.03316Comment: 14 pages, 3 figures.DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks., , , , , and . Astron. Comput., (2019)BICEP / Keck Array XII: Constraints on axion-like polarization oscillations in the cosmic microwave background, , , , , , , , , and 74 other author(s). (2020)cite arxiv:2011.03483Comment: 25 pages, 6 figures, 2 tables.Primordial Non-Gaussianity, , , , , , , , , and 168 other author(s). (2019)cite arxiv:1903.04409Comment: 5 pages + references; Submitted to the Astro2020 call for science white papers. This version: fixed author list.DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks., , , , , and . CoRR, (2018)