Markus Kollmann

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Global Structure

Diffusion Models

Negative Samples

Similarity Scores

Top Venues

Publications

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)
Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. CoRR (2024)
Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann
Rethinking cluster-conditioned diffusion models. CoRR (2024)
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)
Nima Rafiee, Rahil Gholamipoorfard, Markus Kollmann
Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples. ICBRA (2023)
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
Exploring the Limits of Deep Image Clustering using Pretrained Models. CoRR (2023)
Felix Michels, Nikolas Adaloglou, Tim Kaiser, Markus Kollmann
Contrastive Language-Image Pretrained (CLIP) Models are Powerful Out-of-Distribution Detectors. CoRR (2023)
Nikolas Adaloglou, Felix Michels, Hamza Kalisch, Markus Kollmann
Exploring the Limits of Deep Image Clustering using Pretrained Models. BMVC (2023)
Rahil Gholamipoor, Nima Rafiee, Markus Kollmann
Pneumonia Detection With Semantic Similarity Scores. ISBI (2022)
Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling. CoRR (2022)
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)
Nima Rafiee, Rahil Gholamipoor, Markus Kollmann
Unsupervised Anomaly Detection From Semantic Similarity Scores. CoRR (2020)
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) (2020)
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)
Christopher Blum, Markus Kollmann
Neural networks with circular filters enable data efficient inference of sequence motifs. Bioinform. 35 (20) (2019)
Nima Abedpour, Markus Kollmann
Resource constrained flux balance analysis predicts selective pressure on the global structure of metabolic networks. BMC Syst. Biol. 9 (2015)
Markus Kollmann, Michael Kolmbauer
A preconditioned MinRes solver for time-periodic parabolic optimal control problems. Numer. Linear Algebra Appl. 20 (5) (2013)
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) (2013)
Ralf Steuer, Steffen Waldherr, Victor Sourjik, Markus Kollmann
Robust Signal Processing in Living Cells. PLoS Comput. Biol. 7 (11) (2011)