Abstracts 2021

  1. “An ML Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters” A. Ghosh, C. M. Urry, A. Rau, L. Perreault-Levasseur, in Machine Learning and the Physical Sciences (Workshop at the 35th Conference on Neural Information Processing Systems, NeurIPS), ID 109 (December 2021)
  2. “Addressing Sexual Harassment in Astronomy” C. M. Urry, American Chemical Society Fall 2021 meeting, https://www.morressier.com/session/612e2cf7cb003360fe3aa413?poster-id=612e2cf7cb003360fe3aa412 (2021)
  3. “Training an Interpretable Bayesian CNN with Only a Dab of Real Data to Study Morphology and Quenching of Galaxies” A. Ghosh, C. M. Urry, C. Tian, A. Rau, AAS Mtg 238, #119.04 (2021)
  4. “Training an interpretable ML algorithm with only a dab of real data: An extragalactic perspective” A. Ghosh, C. M. Urry, Where the Earth meets the Sky (Proceedings of Workshop held 27-28 May, 2021), https://indico.nbi.ku.dk/event/1330/, id. 9 (2021)
  5. “Cold Quasars: Nature’s Jekyll and Hyde” A. Kirkpatrick, K. Cooke, M. Estrada, E. Glikman, C. M. Urry, AAS Mtg 237, #529.06 (2021)
  6. “Dying of the Light: Cold Quasars & The Shutdown of Galaxy Growth” K. C. Cooke et al. (13 co-authors, including C. M. Urry) AAS Mtg 237, #109.04 (2021)