35 citations · 69 across the 8 of their papers we have counts for
8 papers
Low Complexity Adaptive Machine Learning 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…
Contrastive Learning for Online Semi-Supervised General Continual Learning
Nicolas Michel, Romain Negrel, Giovanni Chierchia +1
We study Online Continual Learning with missing labels and propose SemiCon, a new contrastive loss designed for partly labeled data. We demonstrate its efficiency by devising a mem…
Bayesian Modeling of a Human MMORPG Player
Gabriel Synnaeve, Pierre Bessiere
This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). W…
Entropic Time
Ariel Caticha
The formulation of quantum mechanics within the framework of entropic dynamics includes several new elements. In this paper we concentrate on one of them: the implications for the…
Entropic Inference
Ariel Caticha
In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rati…
Non-relativistic Gravity in Entropic Quantum Dynamics
David T. Johnson, Ariel Caticha
Symmetries and transformations are explored in the framework of entropic quantum dynamics. Two conditions arise that are required for any transformation to qualify as a symmetry. T…