Julia Linhart

According to our database, Julia Linhart authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

sbi reloaded: a toolkit for simulation-based inference workflows.

Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke

J. Open Source Softw., May, 2025

2024

Simulation-based inference with deep learning : application to neuroscience time series data. (Inférence à base de simulateurs par réseaux de neurones : application aux signaux de neurosciences).

Julia Linhart

PhD thesis, 2024

Diffusion posterior sampling for simulation-based inference in tall data settings.

Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues

CoRR, 2024

2023

L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference.

Julia Linhart, Alexandre Gramfort, Pedro Rodrigues

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Validation Diagnostics for SBI algorithms based on Normalizing Flows.

Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues

CoRR, 2022