Christian Reimers

According to our database, Christian Reimers authored at least 12 papers between 2004 and 2024.

Collaborative distances:

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

2024

Atmospheric Transport Modeling of CO₂ with Neural Networks.

Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

CoRR, 2024

Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests.

Christian Reimers, David Hafezi Rachti, Guahua Liu, Alexander J. Winkler

CoRR, 2024

2023

Understanding deep learning.

Christian Reimers

PhD thesis, 2023

Learning Disentangled Discrete Representations.

David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Investigating Neural Network Training on a Feature Level Using Conditional Independence.

Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing.

Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler

CoRR, 2021

Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data.

Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Investigating the Consistency of Uncertainty Sampling in Deep Active Learning.

Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification.

Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Determining the Relevance of Features for Deep Neural Networks.

Christian Reimers, Jakob Runge, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2020, 2020

2005

On-board Data Processing to Lower Bandwidth Requirements on an Infrared Astronomy Satellite: Case of Herschel-PACS Camera.

Ahmed Nabil Belbachir, Horst Bischof, Roland Ottensamer, Franz Kerschbaum, Christian Reimers

EURASIP J. Adv. Signal Process., 2005

2004

A Feasibility study of On-Board Data Compression for Infrared Cameras of Space Observatories.

Christian Reimers, Ahmed Nabil Belbachir, Horst Bischof, Roland Ottensamer, Diego A. Cesarsky, Helmut Feuchtgruber, Franz Kerschbaum, Albrecht Poglitsch

Proceedings of the 17th International Conference on Pattern Recognition, 2004