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Markus Kollmann
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2020 – today
- 2024
- [j8]Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann:
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection. Trans. Mach. Learn. Res. 2024 (2024) - [i5]Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann:
Rethinking cluster-conditioned diffusion models. CoRR abs/2403.00570 (2024) - [i4]Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann:
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. CoRR abs/2406.01203 (2024) - 2023
- [j7]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:
Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies. npj Digit. Medicine 6 (2023) - [c5]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. BMVC 2023: 297-299 - [c4]Nima Rafiee, Rahil Gholamipoorfard, Markus Kollmann:
Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples. ICBRA 2023: 195-200 - [i3]Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann:
Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors. CoRR abs/2303.05828 (2023) - [i2]Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann:
Exploring the Limits of Deep Image Clustering using Pretrained Models. CoRR abs/2303.17896 (2023) - 2022
- [c3]Nima Rafiee, Rahil Gholamipoor, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-supervised Anomaly Detection by Self-distillation and Negative Sampling. ICANN (4) 2022: 459-470 - [c2]Rahil Gholamipoor, Nima Rafiee, Markus Kollmann:
Pneumonia Detection With Semantic Similarity Scores. ISBI 2022: 1-5 - [i1]Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann:
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling. CoRR abs/2201.06378 (2022) - 2020
- [j6]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:
Reliable Detection of Atrial Fibrillation with a Medical Wearable during Inpatient Conditions. Sensors 20(19): 5517 (2020)
2010 – 2019
- 2019
- [j5]Christopher Blum, Markus Kollmann:
Neural networks with circular filters enable data efficient inference of sequence motifs. Bioinform. 35(20): 3937-3943 (2019) - [c1]Linlin Zhao, Nima Abedpour, Christopher Blum, Petra Kolkhof, Mathias Beller, Markus Kollmann, Emidio Capriotti:
Predicting gene expression level in E. coli from mRNA sequence information. CIBCB 2019: 1-8 - 2015
- [j4]Nima Abedpour, Markus Kollmann:
Resource constrained flux balance analysis predicts selective pressure on the global structure of metabolic networks. BMC Syst. Biol. 9: 88 (2015) - 2013
- [j3]Markus Kollmann, Michael Kolmbauer, Ulrich Langer, Monika Wolfmayr, Walter Zulehner:
A robust finite element solver for a multiharmonic parabolic optimal control problem. Comput. Math. Appl. 65(3): 469-486 (2013) - [j2]Markus Kollmann, Michael Kolmbauer:
A preconditioned MinRes solver for time-periodic parabolic optimal control problems. Numer. Linear Algebra Appl. 20(5): 761-784 (2013) - 2011
- [j1]Ralf Steuer, Steffen Waldherr, Victor Sourjik, Markus Kollmann:
Robust Signal Processing in Living Cells. PLoS Comput. Biol. 7(11) (2011)
Coauthor Index
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