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
SAFE-DRIFT: Data Selection for Supervised Fine-Tuning with Controllable Off-Target Drifts
Yeo Jin Jung, Yating Liu, Lalchland Pandia, and Claire Donnat.
Manuscript · Submitted to NeurIPS 2026
Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?
Tommaso Castellani, Jiaqi Li, and Claire Donnat.
Manuscript · Submitted to NeurIPS 2026
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
