Claire Donnat

According to our database, Claire Donnat authored at least 22 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Denoising over networks with applications to partially observed epidemics.

Claire Donnat, Olga Klopp, Nicolas Verzelen

Comput. Stat. Data Anal., 2026

2025

SpeedCP: Fast Kernel-based Conditional Conformal Prediction.

Yeo Jin Jung, Yating Liu, Zixuan Wu, So Won Jeong, Claire Donnat

CoRR, September, 2025

Filtering with Confidence: When Data Augmentation Meets Conformal Prediction.

Zixuan Wu, So Won Jeong, Yating Liu, Yeo Jin Jung, Claire Donnat

CoRR, September, 2025

LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks.

Sowon Jeong, Claire Donnat

CoRR, May, 2025

Understanding the Effect of GCN Convolutions in Regression Tasks.

Juntong Chen, Johannes Schmidt-Hieber, Claire Donnat, Olga Klopp

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Graph-Structured Topic Modeling for Documents with Spatial or Covariate Dependencies.

Yeo Jin Jung, Claire Donnat

CoRR, 2024

GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks.

Jihee You, Sowon Jeong, Claire Donnat

CoRR, 2024

2023

Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry.

Claire Donnat, Sowon Jeong

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A Simplified Framework for Contrastive Learning for Node Representations.

Ilgee Hong, Huy Tran, Claire Donnat

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Tuning the Geometry of Graph Neural Networks.

Sowon Jeong, Claire Donnat

CoRR, 2022

ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results.

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

CoRR, 2022

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy.

Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane

CoRR, 2022

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results.

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

Proceedings of the Topological, 2022

2020

Geomstats: A Python Package for Riemannian Geometry in Machine Learning.

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

CoRR, 2020

Introduction to Geometric Learning in Python with Geomstats.

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

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

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Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Convex Hierarchical Clustering for Graph-Structured Data.

Claire Donnat, Susan P. Holmes

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

geomstats: a Python Package for Riemannian Geometry in Machine Learning.

Nina Miolane, Johan Mathe, Claire Donnat, Mikael Jorda, Xavier Pennec

CoRR, 2018

Tracking Network Dynamics: a review of distances and similarity metrics.

Claire Donnat, Susan P. Holmes

CoRR, 2018

Learning Structural Node Embeddings via Diffusion Wavelets.

Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Spectral Graph Wavelets for Structural Role Similarity in Networks.

Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec

CoRR, 2017

2016

A divide-and-conquer framework for large-scale subspace clustering.

Chong You, Claire Donnat, Daniel P. Robinson, René Vidal

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016