no code implementations • 31 Jan 2023 • Jonathan Wider, Jakob Kruse, Nils Weitzel, Janica C. Bühler, Ullrich Köthe, Kira Rehfeld
Simulating abundances of stable water isotopologues, i. e. molecules differing in their isotopic composition, within climate models allows for comparisons with proxy data and, thus, for testing hypotheses about past climate and validating climate models under varying climatic conditions.
1 code implementation • 5 May 2021 • Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images.
no code implementations • 26 Jan 2021 • Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Recent work demonstrated that flow-based invertible neural networks are promising tools for solving ambiguous inverse problems.
no code implementations • 4 Mar 2020 • Jakob Kruse
Mixture Density Networks are a tried and tested tool for modelling conditional probability distributions.
no code implementations • 25 Sep 2019 • Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
In this work, we address the task of natural image generation guided by a conditioning input.
6 code implementations • 4 Jul 2019 • Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
We demonstrate these properties for the tasks of MNIST digit generation and image colorization.
1 code implementation • 25 May 2019 • Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl
Many recent invertible neural architectures are based on coupling block designs where variables are divided in two subsets which serve as inputs of an easily invertible (usually affine) triangular transformation.
no code implementations • 8 Mar 2019 • Tim J. Adler, Lynton Ardizzone, Anant Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Assessment of the specific hardware used in conjunction with such algorithms, however, has not properly addressed the possibility that the problem may be ill-posed.
2 code implementations • ICLR 2019 • Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe
Often, the forward process from parameter- to measurement-space is a well-defined function, whereas the inverse problem is ambiguous: one measurement may map to multiple different sets of parameters.
no code implementations • ICCV 2017 • Jakob Kruse, Carsten Rother, Uwe Schmidt
This work addresses the task of non-blind image deconvolution.