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Publication search results
found 18 matches
- 2024
- Jakob Adrian Kruse, Leon Ciechanowski
, Ambre Dupuis, Ignacio Vazquez, Peter A. Gloor
:
Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions. Sensors 24(6): 1917 (2024) - 2023
- 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 abs/2301.13462 (2023) - 2022
- Alessandro Colombo, Simon Dold, Patrice Kolb, Nils Bernhardt, Patrick Behrens, Jonathan Correa, Stefan Düsterer, Benjamin Erk, Linos Hecht, Andrea Heilrath, Robert Irsig, Norman Iwe, Jakob Jordan, Björn Kruse, Bruno Langbehn, Bastian Manschwetus, Franklin Martinez, Karl-Heinz Meiwes-Broer, Kevin Oldenburg, Christopher Passow, Christian Peltz, Mario Sauppe, Fabian Seel, Rico Mayro P. Tanyag, Rolf Treusch, Anatoli Ulmer, Saida Walz, Thomas Fennel, Ingo Barke, Thomas Möller, Bernd von Issendorff, Daniela Rupp:
Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures. CoRR abs/2208.04044 (2022) - 2021
- Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl:
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference. AAAI 2021: 8191-8199 - Jakob Nonnenmacher, Felix Kruse, Gerrit Schumann, Jorge Marx Gómez:
Using Autoencoders for Data-Driven Analysis in Internal Auditing. HICSS 2021: 1-10 - Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Benchmarking Invertible Architectures on Inverse Problems. CoRR abs/2101.10763 (2021) - Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR abs/2105.02104 (2021) - 2020
- Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR 2020: 373-387 - Gerrit Schumann, Felix Kruse, Jakob Nonnenmacher
:
A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits. ICSOC 2020: 533-543 - Jakob Kruse:
Technical report: Training Mixture Density Networks with full covariance matrices. CoRR abs/2003.05739 (2020) - 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): 997-1007 (2019) - Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) 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 abs/1903.03441 (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 abs/1905.10687 (2019) - Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Guided Image Generation with Conditional Invertible Neural Networks. CoRR abs/1907.02392 (2019) - 2018
- 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 abs/1808.04730 (2018) - 2017
- Jakob Kruse, Carsten Rother, Uwe Schmidt:
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. ICCV 2017: 4596-4604 - 2015
- Christian Rapp, Otto Kruse, Jennifer Erlemann, Jakob Ott:
Thesis Writer: A System for Supporting Academic Writing. CSCW Companion 2015: 57-60
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