Markus Kollmann

According to our database, Markus Kollmann authored at least 16 papers between 2011 and 2024.

Collaborative distances:

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

2024

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection.

Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann

Trans. Mach. Learn. Res., 2024

Scaling Up Deep Clustering Methods Beyond ImageNet-1K.

Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann

CoRR, 2024

Rethinking cluster-conditioned diffusion models.

Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann

CoRR, 2024

2023

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies.

Malte Jacobsen, Rahil Gholamipoor, Till Anselm Dembek, Pauline Rottmann, Marlo Verket, Julia Brandts, Paul Jäger, Ben-Niklas Baermann, Mustafa Kondakci, Lutz Heinemann, Anna L. Gerke, Nikolaus Marx, Dirk Müller-Wieland, Kathrin Möllenhoff, Melchior Seyfarth, Markus Kollmann, Guido Kobbe

npj Digit. Medicine, 2023

Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors.

Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann

CoRR, 2023

Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples.

Nima Rafiee, Rahil Gholamipoorfard, Markus Kollmann

Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

Exploring the Limits of Deep Image Clustering using Pretrained Models.

Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Pneumonia Detection With Semantic Similarity Scores.

Rahil Gholamipoor, Nima Rafiee, Markus Kollmann

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Self-supervised Anomaly Detection by Self-distillation and Negative Sampling.

Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2020

Reliable Detection of Atrial Fibrillation with a Medical Wearable during Inpatient Conditions.

Malte Jacobsen, Till Anselm Dembek, Athanasios-Panagiotis Ziakos, Rahil Gholamipoor, Guido Kobbe, Markus Kollmann, Christopher Blum, Dirk Müller-Wieland, Andreas Napp, Lutz Heinemann, Nikolas Deubner, Nikolaus Marx, Stefan Isenmann, Melchior Seyfarth

Sensors, 2020

2019

Neural networks with circular filters enable data efficient inference of sequence motifs.

Christopher Blum, Markus Kollmann

Bioinform., 2019

Predicting gene expression level in E. coli from mRNA sequence information.

Linlin Zhao, Nima Abedpour, Christopher Blum, Petra Kolkhof, Mathias Beller, Markus Kollmann, Emidio Capriotti

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2015

Resource constrained flux balance analysis predicts selective pressure on the global structure of metabolic networks.

Nima Abedpour, Markus Kollmann

BMC Syst. Biol., 2015

2013

A preconditioned MinRes solver for time-periodic parabolic optimal control problems.

Markus Kollmann, Michael Kolmbauer

Numer. Linear Algebra Appl., 2013

A robust finite element solver for a multiharmonic parabolic optimal control problem.

Markus Kollmann, Michael Kolmbauer, Ulrich Langer, Monika Wolfmayr, Walter Zulehner

Comput. Math. Appl., 2013

2011

Robust Signal Processing in Living Cells.

Ralf Steuer, Steffen Waldherr, Victor Sourjik, Markus Kollmann

PLoS Comput. Biol., 2011