17 citations · 51 across the 5 of their papers we have counts for
5 papers
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie, Dominic Masters, Zach Eaton-Rosen +1
We investigate the reasons for the performance degradation incurred with batch-independent normalization. We find that the prototypical techniques of layer normalization and instan…
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution Training
Dominic Masters, Antoine Labatie, Zach Eaton-Rosen +1
Much recent research has been dedicated to improving the efficiency of training and inference for image classification. This effort has commonly focused on explicitly improving the…
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
Antoine Labatie
We introduce a novel approach, requiring only mild assumptions, for the characterization of deep neural networks at initialization. Our approach applies both to fully-connected and…
Wavelet analysis of baryon acoustic structures in the galaxy distribution
P. Arnalte-Mur, A. Labatie, N. Clerc +5
Baryon Acoustic Oscillations (BAO) are a feature imprinted in the density field by acoustic waves travelling in the plasma of the early universe. Their fixed scale can be used as a…
Uncertainty in 2-point correlation function estimators and BAO detection in SDSS DR7
Antoine Labatie, Jean-Luc Starck, Marc Lachièze-Rey +1
We study the uncertainty in different two-point correlation function (2PCF) estimators in currently available galaxy surveys. This is motivated by the active subject of using the b…