Manuel Glöckler

19 papers A* 5Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Scalable Simulation-Based Model Inference with Test-Time Complexity Control.
CoRR
Manuel Glöckler, J. P. Manzano-Patrón, Stamatios N. Sotiropoulos, Cornelius Schröder, Jakob H. Macke
2025 A* conf
Compositional simulation-based inference for time series.
ICLR
Manuel Glöckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke
2025 J jnl
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models.
CoRR
Julius Vetter, Manuel Glöckler, Daniel Gedon, Jakob H. Macke
2025 J jnl
Simulation-Based Inference: A Practical Guide.
CoRR
Michael Deistler, Jan Boelts, Peter Steinbach, Guy Moss, Thomas Moreau, Manuel Glöckler, Pedro L. C. Rodrigues, Julia Linhart, Janne K. Lappalainen, Benjamin Kurt Miller, Pedro J. Gonçalves, Jan-Matthis Lueckmann, Cornelius Schröder, Jakob H. Macke
2025 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
J. Open Source Softw.
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
2024 J jnl
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.
Trans. Mach. Learn. Res.
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
2024 J jnl
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.
CoRR
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
2024 A* conf
All-in-one simulation-based inference.
ICML
Manuel Glöckler, Michael Deistler, Christian Dietrich Weilbach, Frank Wood, Jakob H. Macke
2024 J jnl
All-in-one simulation-based inference.
CoRR
Manuel Glöckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. Macke
2024 J jnl
Compositional simulation-based inference for time series.
CoRR
Manuel Glöckler, Shoji Toyota, Kenji Fukumizu, Jakob H. Macke
2024 A* conf
Inferring stochastic low-rank recurrent neural networks from neural data.
NeurIPS
Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Glöckler, Jakob H. Macke
2024 J jnl
Inferring stochastic low-rank recurrent neural networks from neural data.
CoRR
Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Glöckler, Jakob H. Macke
2024 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
CoRR
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
2023 A* conf
Adversarial robustness of amortized Bayesian inference.
ICML
Manuel Glöckler, Michael Deistler, Jakob H. Macke
2023 J jnl
Adversarial robustness of amortized Bayesian inference.
CoRR
Manuel Glöckler, Michael Deistler, Jakob H. Macke
2023 J jnl
Hierarchical modelling of microbial communities.
Bioinform.
Manuel Glöckler, Andreas Dräger, Reihaneh Mostolizadeh
2022 J jnl
NCMW: A Python Package to Analyze Metabolic Interactions in the Nasal Microbiome.
Frontiers Bioinform.
Manuel Glöckler, Andreas Dräger, Reihaneh Mostolizadeh
2022 A* conf
Variational methods for simulation-based inference.
ICLR
Manuel Glöckler, Michael Deistler, Jakob H. Macke
2022 J jnl
Variational methods for simulation-based inference.
CoRR
Manuel Glöckler, Michael Deistler, Jakob H. Macke