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20052026
most citedHow to estimate carbon footprint when training deep learning models? A guide and review

120 citations

Showing 2014Show all

6 papers · 1 filter

cs.CE2014★ 4 cited

SPySort: Neuronal Spike Sorting with Python

Christophe Pouzat, Georgios Is. Detorakis

Extracellular recordings with multi-electrode arrays is one of the basic tools of contemporary neuroscience. These recordings are mostly used to monitor the activities, understood…

math.PR2014

On the capacity functional of excursion sets of Gaussian random fields on

Marie Kratz, Werner Nagel

When a random field is thresholded on a given level , the excursion set is given by its indicator . The purpose of this work…

stat.ME2014

Model Selection in Overlapping Stochastic Block Models

P. Latouche, E. Birmelé, C. Ambroise

Networks are a commonly used mathematical model to describe the rich set of interactions between objects of interest. Many clustering methods have been developed in order to partit…

math.PR2014

Random Measurable Sets and Covariogram Realisability Problems

Bruno Galerne, Raphael Lachieze-Rey

We provide a characterization of the realisable set covariograms, bringing a rigorous yet abstract solution to the problem in materials science. Our method is based on the c…

math.PR2014★ 2 cited

Moment bounds for dependent sequences in smooth Banach spaces

Jérôme Dedecker, Florence Merlevède

We prove a Marcinkiewicz-Zygmund type inequality for random variables taking values in a smooth Banach space. Next, we obtain some sharp concentration inequalities for the empirica…

math.ST2014★ 14 cited

Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one

Jérôme Dedecker, Aurélie Fischer, Bertrand Michel

This paper deals with the estimation of a probability measure on the real line from data observed with an additive noise. We are interested in rates of convergence for the Wasserst…