| A machine learning approach for dynamical mass measurements of galaxy clusters M Ntampaka, H Trac, DJ Sutherland, N Battaglia, B Póczos, J Schneider The Astrophysical Journal 803 (2), 50, 2015 | 120 | 2015 |
| A deep learning approach to galaxy cluster x-ray masses M Ntampaka, J ZuHone, D Eisenstein, D Nagai, A Vikhlinin, L Hernquist, ... The Astrophysical Journal 876 (1), 82, 2019 | 104 | 2019 |
| Dynamical mass measurements of contaminated galaxy clusters using machine learning M Ntampaka, H Trac, DJ Sutherland, S Fromenteau, B Póczos, ... The Astrophysical Journal 831 (2), 135, 2016 | 88 | 2016 |
| SuperRAENN: a semisupervised supernova photometric classification pipeline trained on pan-STARRS1 medium-deep survey supernovae VA Villar, G Hosseinzadeh, E Berger, M Ntampaka, DO Jones, P Challis, ... The Astrophysical Journal 905 (2), 94, 2020 | 87 | 2020 |
| A robust and efficient deep learning method for dynamical mass measurements of galaxy clusters M Ho, MM Rau, M Ntampaka, A Farahi, H Trac, B Póczos The Astrophysical Journal 887 (1), 25, 2019 | 84 | 2019 |
| The role of machine learning in the next decade of cosmology M Ntampaka, C Avestruz, S Boada, J Caldeira, J Cisewski-Kehe, ... arXiv preprint arXiv:1902.10159, 2019 | 73 | 2019 |
| A hybrid deep learning approach to cosmological constraints from galaxy redshift surveys M Ntampaka, DJ Eisenstein, S Yuan, LH Garrison The Astrophysical Journal 889 (2), 151, 2020 | 55 | 2020 |
| A first look at creating mock catalogs with machine learning techniques X Xu, S Ho, H Trac, J Schneider, B Poczos, M Ntampaka The Astrophysical Journal 772 (2), 147, 2013 | 43 | 2013 |
| Machine learning applied to the reionization history of the universe in the 21 cm signal P La Plante, M Ntampaka The Astrophysical Journal 880 (2), 110, 2019 | 42 | 2019 |
| Using X-ray morphological parameters to strengthen galaxy cluster mass estimates via machine learning SB Green, M Ntampaka, D Nagai, L Lovisari, K Dolag, D Eckert, ... The Astrophysical Journal 884 (1), 33, 2019 | 34 | 2019 |
| A deep learning view of the census of galaxy clusters in illustristng Y Su, Y Zhang, G Liang, JA ZuHone, DJ Barnes, NB Jacobs, M Ntampaka, ... Monthly Notices of the Royal Astronomical Society 498 (4), 5620-5628, 2020 | 32 | 2020 |
| Predicting the impact of feedback on matter clustering with machine learning in CAMELS AM Delgado, D Anglés-Alcázar, L Thiele, S Pandey, K Lehman, ... Monthly Notices of the Royal Astronomical Society 526 (4), 5306-5325, 2023 | 21 | 2023 |
| The dynamical mass of the Coma cluster from deep learning M Ho, M Ntampaka, MM Rau, M Chen, A Lansberry, F Ruehle, H Trac Nature Astronomy 6 (8), 936-941, 2022 | 17 | 2022 |
| Benchmarks and explanations for deep learning estimates of X-ray galaxy cluster masses M Ho, J Soltis, A Farahi, D Nagai, A Evrard, M Ntampaka Monthly Notices of the Royal Astronomical Society 524 (3), 3289-3302, 2023 | 15 | 2023 |
| The next decade of astroinformatics and astrostatistics A Siemiginowska, G Eadie, I Czekala, E Feigelson, EB Ford, V Kashyap, ... Bulletin of the American Astronomical Society, 2019 | 13 | 2019 |
| Cluster Cosmology with the Velocity Distribution Function of the HeCS-SZ Sample M Ntampaka, K Rines, H Trac The Astrophysical Journal 880 (2), 154, 2019 | 12 | 2019 |
| Emulating Sunyaev–Zeldovich images of galaxy clusters using autoencoders T Rothschild, D Nagai, H Aung, SB Green, M Ntampaka, J ZuHone Monthly Notices of the Royal Astronomical Society 513 (1), 333-344, 2022 | 11 | 2022 |
| The importance of being interpretable: Toward an understandable machine learning encoder for galaxy cluster cosmology M Ntampaka, A Vikhlinin The Astrophysical Journal 926 (1), 45, 2022 | 9 | 2022 |
| Painting baryons on to N-body simulations of galaxy clusters with image-to-image deep learning U Chadayammuri, M Ntampaka, J ZuHone, Á Bogdán, RP Kraft Monthly Notices of the Royal Astronomical Society 526 (2), 2812-2829, 2023 | 8 | 2023 |
| The velocity distribution function of galaxy clusters as a cosmological probe M Ntampaka, H Trac, J Cisewski, LC Price The Astrophysical Journal 835 (1), 106, 2017 | 8 | 2017 |
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie MellonVerified email at andrew.cmu.edu
