Brieuc Lehmann

According to our database, Brieuc Lehmann authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

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

Brieuc Lehmann, Simon White

Stat. Comput., August, 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 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