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Claire Donnat
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2020 – today
- 2023
- [c8]Ilgee Hong, Huy Tran, Claire Donnat:
A Simplified Framework for Contrastive Learning for Node Representations. ACSSC 2023: 573-577 - [c7]Claire Donnat, Sowon Jeong:
Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry. UAI 2023: 539-548 - [i9]Ilgee Hong, Huy Tran, Claire Donnat:
A Simplified Framework for Contrastive Learning for Node Representations. CoRR abs/2305.00623 (2023) - 2022
- [c6]Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Rishi Sonthalia, Xinyue Cui, Tom Szwagier, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane:
ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. TAG-ML 2022: 269-276 - [i8]Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane:
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy. CoRR abs/2201.02867 (2022) - [i7]Adele Myers, Saiteja Utpala, Shubham Talbar, Sophia Sanborn, Christian Shewmake, Claire Donnat, Johan Mathe, Umberto Lupo, Rishi Sonthalia, Xinyue Cui, Tom Szwagier
, Arthur Pignet, Andri Bergsson, Søren Hauberg, Dmitriy Nielsen, Stefan Sommer, David A. Klindt, Erik Hermansen, Melvin Vaupel, Benjamin A. Dunn, Jeffrey Xiong, Noga Aharony, Itsik Pe'er, Felix Ambellan, Martin Hanik
, Esfandiar Nava-Yazdani, Christoph von Tycowicz, Nina Miolane:
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. CoRR abs/2206.09048 (2022) - [i6]Sowon Jeong, Claire Donnat:
Tuning the Geometry of Graph Neural Networks. CoRR abs/2207.05887 (2022) - 2020
- [c5]Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler:
A {B. ML4H@NeurIPS 2020: 53-84 - [c4]Nina Miolane
, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
:
Introduction to Geometric Learning in Python with Geomstats. SciPy 2020: 48-57 - [i5]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 P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020)
2010 – 2019
- 2019
- [c3]Claire Donnat, Susan P. Holmes:
Convex Hierarchical Clustering for Graph-Structured Data. ACSSC 2019: 1999-2006 - [i4]Claire Donnat, Susan P. Holmes:
Convex Hierarchical Clustering for Graph-Structured Data. CoRR abs/1911.03417 (2019) - 2018
- [c2]Claire Donnat
, Marinka Zitnik, David Hallac, Jure Leskovec
:
Learning Structural Node Embeddings via Diffusion Wavelets. KDD 2018: 1320-1329 - [i3]Claire Donnat, Susan P. Holmes:
Tracking Network Dynamics: a review of distances and similarity metrics. CoRR abs/1801.07351 (2018) - [i2]Nina Miolane, Johan Mathe, Claire Donnat, Mikael Jorda, Xavier Pennec:
geomstats: a Python Package for Riemannian Geometry in Machine Learning. CoRR abs/1805.08308 (2018) - 2017
- [i1]Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec:
Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR abs/1710.10321 (2017) - 2016
- [c1]Chong You, Claire Donnat
, Daniel P. Robinson, René Vidal:
A divide-and-conquer framework for large-scale subspace clustering. ACSSC 2016: 1014-1018
Coauthor Index
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