Brieuc Lehmann

According to our database, Brieuc Lehmann authored at least 11 papers between 2017 and 2025.

Collaborative distances:

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

2025

Personalized uncertainty quantification in artificial intelligence.

Tapabrata Chakraborti, Christopher R. S. Banerji, Ariane Marandon, Vicky Hellon, Robin Mitra, Brieuc Lehmann, Leandra Bräuninger, Sarah F. McGough, Cagatay Turkay, Alejandro F. Frangi, Ginestra Bianconi, Weizi Li, Owen Rackham, Deepak Parashar, Chris Harbron, Ben D. MacArthur

Nat. Mac. Intell., 2025

Investigating fair data acquisition for risk prediction in resource-constrained settings.

Ioanna Thoma, Elisabeth Abhayaratna, Matthew Sperrin, Karla Diaz-Ordaz, Ricardo Silva, Brieuc Lehmann

Proceedings of the European Workshop on Algorithmic Fairness, 2025

2024

A Bayesian multilevel model for populations of networks using exponential-family random graphs.

Brieuc Lehmann, Simon R. White

Stat. Comput., August, 2024

Fairness Considerations for Conformal Classification.

Arlan Abzhanov, Brieuc Lehmann

Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 2024

2023

Learning from data with structured missingness.

Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris C. Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Rubén J. Sánchez-García, Alisha R. Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur

Nat. Mac. Intell., January, 2023

Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates.

Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Density Estimation with Autoregressive Bayesian Predictives.

Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

CoRR, 2022

A Predictive Approach to Bayesian Nonparametric Survival Analysis.

Edwin Fong, Brieuc Lehmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Neural score matching for high-dimensional causal inference.

Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Characterising group-level brain connectivity: A framework using Bayesian exponential random graph models.

B. C. L. Lehmann, Richard N. A. Henson, Linda Geerligs, Cam-CAN Group, Simon R. White

NeuroImage, 2021

2017

Assessing dynamic functional connectivity in heterogeneous samples.

B. C. L. Lehmann, Simon R. White, Richard N. Henson, Cam-CAN Group, Linda Geerligs

NeuroImage, 2017