5 papers
Algorithmic collusion under asynchronous price updating
Ivan Conjeaud, Gaspard Abel, Argyris Kalogeratos
This paper investigates the effect of asynchrony in agents' updates in the emergence of algorithmic collusion. We present a continuous-time model for algorithmic collusion in which…
Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors
Erkan Turan, Gaspard Abel, Maysam Behmanesh +2
Graph Neural Networks (GNNs) learn node representations through iterative network-based message-passing. While powerful, deep GNNs suffer from oversmoothing, where node features co…
Dual-Criterion Curriculum Learning: Application to Temporal Data
Gaspard Abel, Eloi Campagne, Mohamed Benloughmari +1
Curriculum Learning (CL) is a meta-learning paradigm that trains a model by feeding the data instances incrementally according to a schedule, which is based on difficulty progressi…
Uncovering Social Network Activity Using Joint User and Topic Interaction
Gaspard Abel, Argyris Kalogeratos, Jean-Pierre Nadal +1
The emergence of online social platforms, such as social networks and social media, has drastically affected the way people apprehend the information flows to which they are expose…
Reducing Recurrent Competitive Epidemics via Dynamic Resource Allocation
Argyris Kalogeratos, Gaspard Abel, Stefano Sarao Mannelli
Motivated by scenarios of epidemic competition, as well as how social contagions spread at the level of individuals, this work considers the competition between two conflicting nod…