Manuel Glöckler

According to our database, Manuel Glöckler authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

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