no code implementations • 1 May 2023 • 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.
no code implementations • 12 Jul 2022 • 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).
no code implementations • 8 Jan 2022 • Claire Donnat, Axel Levy, Frederic Poitevin, Ellen Zhong, Nina Miolane
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 volumes, thereby promising further advances in biology, chemistry, and pharmacological research.
no code implementations • 27 Jul 2020 • Claire Donnat, Nina Miolane, Frederick de St Pierre Bunbury, Jack Kreindler
Computer-Aided Diagnosis has shown stellar performance in providing accurate medical diagnoses across multiple testing modalities (medical images, electrophysiological signals, etc.).
Applications
1 code implementation • ICLR 2019 • Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matrices, Lie groups of transformations, and many more.
no code implementations • 8 Nov 2019 • Claire Donnat, Susan Holmes
Convex clustering is a recent stable alternative to hierarchical clustering.
2 code implementations • ICLR 2019 • Nina Miolane, Johan Mathe, Claire Donnat, Mikael Jorda, Xavier Pennec
This paper also presents a review of manifolds in machine learning and an overview of the geomstats package with examples demonstrating its use for efficient and user-friendly Riemannian geometry.
no code implementations • ICLR 2018 • Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
Nodes residing in different parts of a graph can have similar structural roles within their local network topology.
1 code implementation • KDD 2018 • Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
Nodes residing in different parts of a graph can have similar structural roles within their local network topology.