1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong, Huy Tran, Claire Donnat
Contrastive learning has recently established itself as a powerful self-supervised learning framework for extracting rich and versatile data representations. Broadly speaking, cont…
cs.LG2022
Tuning the Geometry of Graph Neural Networks
Sowon Jeong, Claire Donnat
By recursively summing node features over entire neighborhoods, spatial graph convolution operators have been heralded as key to the success of Graph Neural Networks (GNNs). Yet, d…
eess.IV2022★ 1 cited
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy
Claire Donnat, Axel Levy, Frederic Poitevin +2
Recent breakthroughs in high-resolution imaging of biomolecules in solution with cryo-electron microscopy (cryo-EM) have unlocked new doors for the reconstruction of molecular volu…