Joao Caldeira

KICP Associate fellow, Fermilab
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KICP Publications
  1. "DeepCMB: Lensing reconstruction of the cosmic microwave background with deep neural networks", Astronomy and Computing, Volume 28, article id. 100307 (Jul 2019)
    J. Caldeira, W. L. K. Wu, B. Nord, C. Avestruz, S. Trivedi, K. T. Story
  2. "The Role of Machine Learning in the Next Decade of Cosmology", Astro2020: Decadal Survey on Astronomy and Astrophysics, science white papers, no. 14; Bulletin of the American Astronomical Society, Vol. 51, Issue 3, id. 14 (2019) (May 2019)
    Michelle Ntampaka, Camille Avestruz, Steven Boada, Joao Caldeira, Jessi Cisewski-Kehe, Rosanne Di Stefano, Cora Dvorkin, August E. Evrard, Arya Farahi, Doug Finkbeiner, Shy Genel, Alyssa Goodman, Andy Goulding, Shirley Ho, Arthur Kosowsky, Paul La Plante, Francois Lanusse, Michelle Lochner, Rachel Mandelbaum, Daisuke Nagai, Jeffrey A. Newman, Brian Nord, J. E. G. Peek, Austin Peel, Barnabas Poczos, Markus Michael Rau, Aneta Siemiginowska, Dougal J. Sutherland, Hy Trac, Benjamin Wandelt
  3. "DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks", American Astronomical Society, AAS Meeting #233, id.#315.05 (Jan 2019)
    W. L. Kimmy Wu, Shubhendu Trivedi, Joao Caldeira, Camille Avestruz, Kyle Story, Brian Nord
  4. "DeepCMB: Lensing Reconstruction of the Cosmic Microwave Background with Deep Neural Networks", American Astronomical Society, AAS Meeting #233, id.315.05 (Jan 2019)
    W. L. Kimmy Wu, Joao Caldeira, Brian Nord, Camille Avestruz, Shubhendu Trivedi, Kyle Story