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George Stein
George Stein
Senior Machine Learning Scientist
Verified email at layer6.ai
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Cited by
Year
The Simons Observatory: science goals and forecasts
P Ade, J Aguirre, Z Ahmed, S Aiola, A Ali, D Alonso, MA Alvarez, K Arnold, ...
Journal of Cosmology and Astroparticle Physics 2019 (02), 056, 2019
12992019
The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics
G Kasieczka, B Nachman, D Shih, O Amram, A Andreassen, ...
Reports on progress in physics 84 (12), 124201, 2021
1632021
Testing inflation with large scale structure: connecting hopes with reality
M Alvarez, T Baldauf, JR Bond, N Dalal, R de Putter, O Doré, D Green, ...
arXiv preprint arXiv:1412.4671, 2014
1512014
The simons observatory: Astro2020 decadal project whitepaper
MH Abitbol, S Adachi, P Ade, J Aguirre, Z Ahmed, S Aiola, A Ali, D Alonso, ...
arXiv preprint arXiv:1907.08284, 2019
1232019
Line-intensity mapping: 2017 status report
ED Kovetz, MP Viero, A Lidz, L Newburgh, M Rahman, E Switzer, ...
arXiv preprint arXiv:1709.09066, 2017
1052017
Weak-lensing mass calibration of ACTPol Sunyaev–Zel’dovich clusters with the hyper suprime-cam survey
H Miyatake, N Battaglia, M Hilton, E Medezinski, AJ Nishizawa, S More, ...
The Astrophysical Journal 875 (1), 63, 2019
1032019
Comparing approximate methods for mock catalogues and covariance matrices–I. Correlation function
M Lippich, AG Sánchez, M Colavincenzo, E Sefusatti, P Monaco, L Blot, ...
Monthly Notices of the Royal Astronomical Society 482 (2), 1786-1806, 2019
1012019
The mass-Peak Patch algorithm for fast generation of deep all-sky dark matter halo catalogues and its N-body validation
G Stein, MA Alvarez, JR Bond
Monthly Notices of the Royal Astronomical Society 483 (2), 2236-2250, 2019
982019
Comparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles
L Blot, M Crocce, E Sefusatti, M Lippich, AG Sánchez, M Colavincenzo, ...
Monthly Notices of the Royal Astronomical Society 485 (2), 2806-2824, 2019
892019
Comparing approximate methods for mock catalogues and covariance matrices–III: bispectrum
M Colavincenzo, E Sefusatti, P Monaco, L Blot, M Crocce, M Lippich, ...
Monthly Notices of the Royal Astronomical Society 482 (4), 4883-4905, 2019
882019
Estimating COVID-19 mortality in Italy early in the COVID-19 pandemic
C Modi, V Böhm, S Ferraro, G Stein, U Seljak
Nature communications 12 (1), 2729, 2021
802021
Measurement of the splashback feature around SZ-selected Galaxy clusters with DES, SPT, and ACT
T Shin, S Adhikari, EJ Baxter, C Chang, B Jain, N Battaglia, L Bleem, ...
Monthly Notices of the Royal Astronomical Society 487 (2), 2900-2918, 2019
762019
The Websky extragalactic CMB simulations
G Stein, MA Alvarez, JR Bond, A van Engelen, N Battaglia
Journal of Cosmology and Astroparticle Physics 2020 (10), 012, 2020
692020
How deadly is COVID-19? A rigorous analysis of excess mortality and age-dependent fatality rates in Italy
C Modi, V Boehm, S Ferraro, G Stein, U Seljak
MedRxiv, 2020.04. 15.20067074, 2020
692020
Joint power spectrum and voxel intensity distribution forecast on the CO luminosity function with COMAP
HT Ihle, D Chung, G Stein, M Alvarez, JR Bond, PC Breysse, KA Cleary, ...
The Astrophysical Journal 871 (1), 75, 2019
592019
A volumetric deep convolutional neural network for simulation of mock dark matter halo catalogues
P Berger, G Stein
Monthly Notices of the Royal Astronomical Society 482 (3), 2861-2871, 2019
552019
Cross-correlating carbon monoxide line-intensity maps with spectroscopic and photometric galaxy surveys
DT Chung, MP Viero, SE Church, RH Wechsler, MA Alvarez, JR Bond, ...
The Astrophysical Journal 872 (2), 186, 2019
512019
CCAT-Prime: science with an ultra-widefield submillimeter observatory on Cerro Chajnantor
GJ Stacey, M Aravena, K Basu, N Battaglia, B Beringue, F Bertoldi, ...
Ground-based and airborne telescopes VII 10700, 482-501, 2018
482018
Self-supervised representation learning for astronomical images
MA Hayat, G Stein, P Harrington, Z Lukić, M Mustafa
The Astrophysical Journal Letters 911 (2), L33, 2021
432021
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
G Stein, U Seljak, B Dai
arXiv preprint arXiv:2012.11638, 2020
362020
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