Jakob Kruse

According to our database, Jakob Kruse authored at least 11 papers between 2017 and 2023.

Collaborative distances:

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

2023

Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models.

Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld

CoRR, 2023

2021

Benchmarking Invertible Architectures on Inverse Problems.

Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe

CoRR, 2021

HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference.

Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Technical report: Training Mixture Density Networks with full covariance matrices.

Jakob Kruse

CoRR, 2020

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.

Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Guided Image Generation with Conditional Invertible Neural Networks.

Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe

CoRR, 2019

HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference.

Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl

CoRR, 2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.

Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2019

Analyzing Inverse Problems with Invertible Neural Networks.

Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Analyzing Inverse Problems with Invertible Neural Networks.

Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe

CoRR, 2018

2017

Learning to Push the Limits of Efficient FFT-Based Image Deconvolution.

Jakob Kruse, Carsten Rother, Uwe Schmidt

Proceedings of the IEEE International Conference on Computer Vision, 2017