Cornelius Schröder

According to our database, Cornelius Schröder authored at least 10 papers between 2019 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

FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators.

Guy Moss, Leah Sophie Muhle, Reinhard Drews, Jakob H. Macke, Cornelius Schröder

CoRR, May, 2025

Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.

J. P. Manzano-Patrón, Michael Deistler, Cornelius Schröder, Theodore Kypraios, Pedro J. Gonçalves, Jakob H. Macke, Stamatios N. Sotiropoulos

Medical Image Anal., 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

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation.

Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke

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

Simultaneous identification of models and parameters of scientific simulators.

Cornelius Schröder, Jakob H. Macke

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

2023

Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice Shelf from Isochronal Layers.

Guy Moss, Vjeran Visnjevic, Olaf Eisen, Falk M. Oraschewski, Cornelius Schröder, Jakob H. Macke, Reinhard Drews

CoRR, 2023

2020

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina.

Cornelius Schröder, David A. Klindt, Sarah Strauß, Katrin Franke, Matthias Bethge, Thomas Euler, Philipp Berens

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse.

Cornelius Schröder, Ben James, Leon Lagnado, Philipp Berens

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019