24 citations · 35 across the 14 of their papers we have counts for
4 papers · 1 filter
CoRe-GNN: Multilevel Message passing on Coarsened graphs
Antonin Joly, Nicolas Keriven, Aline Roumy
Training Graph Neural Networks on large graphs is challenged by the memory cost of storing all node representations across layers. We show that several existing scalable approaches…
Discovering shared interpretable operations in image compression autoencoders
Caroline Mazini Rodrigues, Nicolas Keriven, Thomas Maugey
With the increasing adoption of deep learning for applications such as image compression, improvements in the rate-distortion trade-off have been achieved at the cost of increasing…
Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
Hugo Jaquard, Nicolas Keriven
We investigate the limiting behavior of discrete determinantal point processes (DPPs) towards continuous DPPs when the size of the set to sample from goes to infinity. We propose a…
Efficient training for compact compression models via sequential distillation
Caroline Mazini Rodrigues, Nicolas Keriven, Thomas Maugey
Deep learning models for image compression often face practical limitations in hardware-constrained applications. Although these models achieve high-quality reconstructions, they a…