55 citations · 248 across the 15 of their papers we have counts for
15 papers
New metrics for analyzing continual learners
Nicolas Michel, Giovanni Chierchia, Romain Negrel +2
Deep neural networks have shown remarkable performance when trained on independent and identically distributed data from a fixed set of classes. However, in real-world scenarios, i…
Low Complexity Approaches for End-to-End Latency Prediction
Pierre Larrenie, Jean-François Bercher, Olivier Venard +1
Software Defined Networks have opened the door to statistical and AI-based techniques to improve efficiency of networking. Especially to ensure a certain Quality of Service (QoS) f…
Some properties of generalized Fisher information in the context of nonextensive thermostatistics
Jean-François Bercher
We present two extended forms of Fisher information that fit well in the context of nonextensive thermostatistics. We show that there exists an interplay between these generalized…
On some interrelations of generalized -entropies and a generalized Fisher information, including a Cramér-Rao inequality
Jean-François Bercher
In this communication, we describe some interrelations between generalized -entropies and a generalized version of Fisher information. In information theory, the de Bruijn ident…
Some results on a -divergence, an~extended~Fisher information and~generalized~Cramér-Rao inequalities
Jean-François Bercher
We propose a modified -divergence, give some of its properties, and show that this leads to the definition of a generalized Fisher information. We give generalized Cramér-Rao…
On multidimensional generalized Cramér-Rao inequalities, uncertainty relations and characterizations of generalized -Gaussian distributions
J. -F. Bercher
In the present work, we show how the generalized Cramér-Rao inequality for the estimation of a parameter, presented in a recent paper, can be extended to the mutidimensional case w…