The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: baryon acoustic oscillations in the Data Releases 10 and 11 Galaxy samples L Anderson, E Aubourg, S Bailey, F Beutler, V Bhardwaj, M Blanton, ... Monthly Notices of the Royal Astronomical Society 441 (1), 24-62, 2014 | 2358 | 2014 |
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological implications of the large-scale two-point correlation function AG Sanchez, CG Scóccola, AJ Ross, W Percival, M Manera, F Montesano, ... Monthly Notices of the Royal Astronomical Society 425 (1), 415-437, 2012 | 251 | 2012 |
An optimized correlation function estimator for galaxy surveys M Vargas-Magaña, JE Bautista, JC Hamilton, É Aubourg, A Labatie, ... Astronomy & Astrophysics 554, A131, 2013 | 39 | 2013 |
Effect of model-dependent covariance matrix for studying baryon acoustic oscillations A Labatie, JL Starck, M Lachièze-Rey The Astrophysical Journal 760 (2), 97, 2012 | 22 | 2012 |
Wavelet analysis of baryon acoustic structures in the galaxy distribution P Arnalte-Mur, A Labatie, N Clerc, VJ Martínez, JL Starck, ... Astronomy & Astrophysics 542, A34, 2012 | 22 | 2012 |
Uncertainty in 2-point correlation function estimators and baryon acoustic oscillation detection in galaxy surveys A Labatie, JL Starck, M Lachieze-Rey, P Arnalte-Mur Statistical Methodology 9 (1-2), 85-100, 2012 | 20 | 2012 |
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence A Labatie, D Masters, Z Eaton-Rosen, C Luschi 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 19 | 2021 |
Detecting baryon acoustic oscillations A Labatie, JL Starck, M Lachièze-Rey The Astrophysical Journal 746 (2), 172, 2012 | 19 | 2012 |
Characterizing well-behaved vs. pathological deep neural networks A Labatie 36th International Conference on Machine Learning (ICML 2019) 97, 3611-3621, 2019 | 15 | 2019 |
Making EfficientNet more efficient: Exploring batch-independent normalization, group convolutions and reduced resolution training D Masters, A Labatie, Z Eaton-Rosen, C Luschi arXiv preprint arXiv:2106.03640, 2021 | 9 | 2021 |