Publications

SAFE-DRIFT: Data Selection for Supervised Fine-tuning with Controllable Off-Target Drifts

Yeo Jin Jung, Yating Liu, Lalchand Pandia, and Claire Donnat.

NeurIPS 2026 · Accepted · To be presented in Sydney

PDF

Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?

Tommaso Castellani, Hong Chen, Rezwana Razzaque, Helmut Laufs, Muriah Wheelock, Jiaqi Li, and Claire Donnat.

NeurIPS 2026 · Accepted · To be presented in Atlanta

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Tensor Topic Modeling via HOSVD

Yating Liu and Claire Donnat.

Journal of Machine Learning Research · Accepted, forthcoming · 2026

arXiv

Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions

Claire Donnat and Elena Tuzhilina.

Journal of Machine Learning Research, 27(160):1–84 · 2026

Journal arXiv

Efficient Canonical Correlation Analysis with Sparsity

Zixuan Wu, Coralie Rousseau, Elena Tuzhilina, and Claire Donnat.

Electronic Journal of Statistics · 2026

Journal arXiv

SpeedCP: Fast Kernel-based Conditional Conformal Prediction

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

International Conference on Machine Learning (ICML) · 2026

ICML arXiv

Sparse Topic Modeling via Spectral Decomposition and Thresholding

Huy Tran, Yating Liu, and Claire Donnat.

Journal of Machine Learning Research, 27(59):1–76 · 2026

Journal arXiv

Denoising over networks with applications to partially observed epidemics

Claire Donnat, Olga Klopp, and Nicolas Verzelen.

Computational Statistics & Data Analysis, 215 · 2026

Journal arXiv

Bacterial vitamin sharing emerges from a balance between release and uptake

Freddy Bunbury, Thomas Janas, Paige Mullen, Kaylie Scorza, Sagnik Ghosh, Jeffrey Zhang, Madhav Mani, Catherine A. Pfister, Claire Donnat, and Seppe Kuehn.

bioRxiv · 2026

bioRxiv

Topic Modeling Reveals Thermally Partitioned and Taxonomically Distinct Microbial Subcommunities across Prokaryotes and Phytoplankton in the Laurentian Great Lakes

María D. Hernández Limón, Claire Donnat, Freddy Bunbury, and Maureen L. Coleman.

bioRxiv · 2026

Preprint

Semi-Supervised Learning on Graphs using Graph Neural Networks

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

arXiv · 2026 · Under review at JASA

arXiv

Joint learning of a network of linear dynamical systems via total variation penalization

Claire Donnat, Olga Klopp, and Hemant Tyagi.

arXiv · 2025, revised 2026 · Under review at JMLR

arXiv

Filtering with Confidence: When Data Augmentation Meets Conformal Prediction

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

arXiv · 2025, revised 2026

arXiv

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

So Won Jeong and Claire Donnat.

arXiv · 2025

arXiv

Graph Topic Modeling for Documents with Spatial or Covariate Dependencies

Yeo Jin Jung and Claire Donnat.

arXiv · 2024, revised 2025

arXiv

Expediting Field-Effect Transistor Chemical Sensor Design with Neuromorphic Spiking Graph Neural Networks

Rodrigo P. Ferreira, Rui Ding, Fengxue Zhang, Haihui Pu, Claire Donnat, Yuxin Chen, and Junhong Chen.

Molecular Systems Design & Engineering, 10:345–356 · 2025

Journal

Understanding the Effect of GCN Convolutions in Regression Tasks

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

AISTATS, Proceedings of Machine Learning Research, 258:4573–4581 · 2025

Proceedings arXiv

The Generalized Elastic Net for Least Squares Regression With Network-Aligned Signal and Correlated Design

Huy Tran, Sansen Wei, and Claire Donnat.

IEEE Transactions on Signal and Information Processing over Networks, 11:1459–1472 · 2025

Journal