activity
20182023
most citedGuided Image Generation with Conditional Invertible Neural Networks

264 citations · 471 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ao-ph2023★ 1 cited

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

Jonathan Wider, Jakob Kruse, Nils Weitzel +3

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,…

cs.CV2021

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

Lynton Ardizzone, Jakob Kruse, Carsten Lüth +3

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. This…

cs.LG2021★ 26 cited

Benchmarking Invertible Architectures on Inverse Problems

Jakob Kruse, Lynton Ardizzone, Carsten Rother +1

Recent work demonstrated that flow-based invertible neural networks are promising tools for solving ambiguous inverse problems. Following up on this, we investigate how ten inverti…

cs.CV2019★ 264 cited

Guided Image Generation with Conditional Invertible Neural Networks

Lynton Ardizzone, Carsten Lüth, Jakob Kruse +2

In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). T…

stat.ML2019★ 1 cited

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

Jakob Kruse, Gianluca Detommaso, Ullrich Köthe +1

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 af…

physics.med-ph2019★ 30 cited

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

Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8

Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…

cs.LG2018★ 149 cited

Analyzing Inverse Problems with Invertible Neural Networks

Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert +6

In many tasks, in particular in natural science, the goal is to determine hidden system parameters from a set of measurements. Often, the forward process from parameter- to measure…