2 citations · 5 across the 3 of their papers we have counts for
3 papers
Convergence beyond the over-parameterized regime using Rayleigh quotients
David A. R. Robin, Kevin Scaman, Marc Lelarge
In this paper, we present a new strategy to prove the convergence of deep learning architectures to a zero training (or even testing) loss by gradient flow. Our analysis is centere…
What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks
Kevin Scaman, Argyris Kalogeratos, Nicolas Vayatis
In this paper, we analyze the quality of a large class of simple dynamic resource allocation (DRA) strategies which we name priority planning. Their aim is to control an undesired…
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
Remi Lemonnier, Kevin Scaman, Nicolas Vayatis
In this paper, we derive theoretical bounds for the long-term influence of a node in an Independent Cascade Model (ICM). We relate these bounds to the spectral radius of a particul…