Scientific Diffusion
Latest research papers
Arbitrarily Edge-Partitionable Graphs
Journal Article
Julien Bensmail
In this work, we introduce and study the notion of arbitrarily edge-partitionable (AEP) graphs, as…
Dynamically equivalent disjunctive networks
Journal Article
Julio Aracena, Luis Cabrera-Crot, Adrien Richard, Lilian Salinas
The VariCity ecosystem: City visualization of object-oriented variability in Java and TypeScript
Journal Article
Philippe Collet, Johann Mortara, Yann Brault, Anne-Marie Pinna-Dery
In object-oriented variability-rich software systems, the implemented variability often relies on t…
Complexity of Maker-Breaker Games on Edge Sets of Graphs
Journal Article
Eric Duchêne, Valentin Gledel, Fionn Mc Inerney, Nicolas Nisse, Nacim Oijid, Aline Parreau, Miloš Stojaković
We initiate the study of the algorithmic complexity of Maker-Breaker games played on edge sets of g…
Adding Direction Constraints to the 1-2-3 Conjecture
Journal Article
Julien Bensmail, Hervé Hocquard, Clara Marcille
In connection with the so-called 1-2-3 Conjecture, we introduce and study a new variant of proper l…
Gradient Ascent Activity-based Credit Assignment with History-dependent Reward
Conference Paper
Oussama Sabri, Luc Lehéricy, Alexandre Muzy
In reinforcement learning, credit assignment with historydependent reward is a key problem to solve…
Mixed guidance law for capturing a reactive target by coordinated Multi-UAV
Conference Paper
Felipe Kataoka Ishikawa, Sarah Aouiche, Bojan Mavkov, Guillaume Allibert
<div><p>We present a pursuit law for capturing a moving target with multiple aerial drones in a bou…
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Conference Paper
Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
<div><p>Despite extensive research on adversarial training strategies to improve robustness, the de…
Understanding the Importance of Brain Subnetworks with Shapley Values During Narrative Processing
Conference Paper
Aurora Rossi, Yanis Aeschlimann, Emanuele Natale, Samuel Deslauriers-Gauthier, Peter Ford Dominey
On the Sparsity of the Strong Lottery Ticket Hypothesis
Conference Paper
Emanuele Natale, Davide Ferre’, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn
Considerable research efforts have recently been made to show that a random neural network $N$ cont…
Link Inference Attacks in Vertical Federated Graph Learning
Conference Paper
Oualid Zari, Chuan Xu, Javier Parra-Arnau, Ayşe Ünsal, Melek Önen
<div><p>Vertical Federated Graph Learning (VFGL) is a novel privacy-preserving technology that enab…
The Impact of Downlink Scheduling Policy on the Capacity of LoRaWAN
Conference Paper
Christelle Caillouet, Alexandre Guitton, Oana Iova, Fabrice Valois
LoRaWAN is a widely used wireless communication standard for the Internet of Things that enables th…