Manuel Glöckler

According to our database, Manuel Glöckler authored at least 11 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

Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models.

Julius Vetter, Manuel Glöckler, Daniel Gedon, Jakob H. Macke

CoRR, April, 2025

Compositional simulation-based inference for time series.

Manuel Glöckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.

Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

Trans. Mach. Learn. Res., 2024

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.

Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

CoRR, 2024

Inferring stochastic low-rank recurrent neural networks from neural data.

Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Glöckler, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

All-in-one simulation-based inference.

Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hierarchical modelling of microbial communities.

Manuel Glöckler, Andreas Dräger, Reihaneh Mostolizadeh

Bioinform., January, 2023

Adversarial robustness of amortized Bayesian inference.

Manuel Glöckler, Michael Deistler, Jakob H. Macke

Proceedings of the International Conference on Machine Learning, 2023

2022

NCMW: A Python Package to Analyze Metabolic Interactions in the Nasal Microbiome.

Manuel Glöckler, Andreas Dräger, Reihaneh Mostolizadeh

Frontiers Bioinform., 2022

Variational methods for simulation-based inference.

Manuel Glöckler, Michael Deistler, Jakob H. Macke

Proceedings of the Tenth International Conference on Learning Representations, 2022