Jakob Kruse

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 13

Top Topics

Bayesian Inference

Inverse Problems

Image Generation

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld
Towards Learned Emulation of Interannual Water Isotopologue Variations in General Circulation Models. CoRR (2023)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR (2021)
Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference. AAAI (2021)
Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Benchmarking Invertible Architectures on Inverse Problems. CoRR (2021)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR (2020)
Jakob Kruse
Technical report: Training Mixture Density Networks with full covariance matrices. CoRR (2020)
Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
Guided Image Generation with Conditional Invertible Neural Networks. CoRR (2019)
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
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
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
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR (2019)
Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR (2019)
Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) (2019)
Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. CoRR (2018)
Jakob Kruse, Carsten Rother, Uwe Schmidt
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. ICCV (2017)