Claire Donnat - RankMe

27 papers A* 1A 2Misc 3Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Denoising over networks with applications to partially observed epidemics. Comput. Stat. Data Anal. Claire Donnat, Olga Klopp, Nicolas Verzelen
2026	J	`jnl`	Semi-Supervised Learning on Graphs using Graph Neural Networks. CoRR Juntong Chen, Claire Donnat, Olga Klopp, Johannes Schmidt-Hieber
2025	J	`jnl`	Filtering with Confidence: When Data Augmentation Meets Conformal Prediction. CoRR Zixuan Wu, So Won Jeong, Yating Liu, Yeo Jin Jung, Claire Donnat
2025	J	`jnl`	LOBSTUR: A Local Bootstrap Framework for Tuning Unsupervised Representations in Graph Neural Networks. CoRR Sowon Jeong, Claire Donnat
2025	J	`jnl`	SpeedCP: Fast Kernel-based Conditional Conformal Prediction. CoRR Yeo Jin Jung, Yating Liu, Zixuan Wu, So Won Jeong, Claire Donnat
2025	J	`jnl`	The Generalized Elastic Net for Least Squares Regression With Network-Aligned Signal and Correlated Design. IEEE Trans. Signal Inf. Process. over Networks Huy Tran, Sansen Wei, Claire Donnat
2025	A	`conf`	Understanding the Effect of GCN Convolutions in Regression Tasks. AISTATS Juntong Chen, Johannes Schmidt-Hieber, Claire Donnat, Olga Klopp
2024	J	`jnl`	GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks. CoRR Jihee You, Sowon Jeong, Claire Donnat
2024	J	`jnl`	Graph-Structured Topic Modeling for Documents with Spatial or Covariate Dependencies. CoRR Yeo Jin Jung, Claire Donnat
2024	J	`jnl`	Understanding the Effect of GCN Convolutions in Regression Tasks. CoRR Juntong Chen, Johannes Schmidt-Hieber, Claire Donnat, Olga Klopp
2023	Misc	`conf`	A Simplified Framework for Contrastive Learning for Node Representations. ACSSC Ilgee Hong, Huy Tran, Claire Donnat
2023	J	`jnl`	A Simplified Framework for Contrastive Learning for Node Representations. CoRR Ilgee Hong, Huy Tran, Claire Donnat
2023	A	`conf`	Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry. UAI Claire Donnat, Sowon Jeong
2022	J	`jnl`	Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy. CoRR Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane
2022	—	`conf`	ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results. TAG-ML 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
2022	J	`jnl`	ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results. CoRR 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
2022	J	`jnl`	Tuning the Geometry of Graph Neural Networks. CoRR Sowon Jeong, Claire Donnat
2020	—	`conf`	A {B. ML4H@NeurIPS Claire Donnat, Nina Miolane, Freddy Bunbury, Jack Kreindler
2020	J	`jnl`	Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR 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
2020	—	`conf`	Introduction to Geometric Learning in Python with Geomstats. SciPy 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
2019	Misc	`conf`	Convex Hierarchical Clustering for Graph-Structured Data. ACSSC Claire Donnat, Susan P. Holmes
2019	J	`jnl`	Convex Hierarchical Clustering for Graph-Structured Data. CoRR Claire Donnat, Susan P. Holmes
2018	A*	`conf`	Learning Structural Node Embeddings via Diffusion Wavelets. KDD Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
2018	J	`jnl`	Tracking Network Dynamics: a review of distances and similarity metrics. CoRR Claire Donnat, Susan P. Holmes
2018	J	`jnl`	geomstats: a Python Package for Riemannian Geometry in Machine Learning. CoRR Nina Miolane, Johan Mathe, Claire Donnat, Mikael Jorda, Xavier Pennec
2017	J	`jnl`	Spectral Graph Wavelets for Structural Role Similarity in Networks. CoRR Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec
2016	Misc	`conf`	A divide-and-conquer framework for large-scale subspace clustering. ACSSC Chong You, Claire Donnat, Daniel P. Robinson, René Vidal