Home  | News

02.01.2020

Tiny logo
Teaser image to MCML Researchers in Highly-Ranked Journals

MCML Researchers in Highly-Ranked Journals

Nine Papers in 2020 Highlight Scientific Impact

We are happy to announce that MCML researchers are represented in 2020 with nine papers in highly-ranked journals. Congrats to our researchers!

M. Lotfollahi • M. Naghipourfar • F. J. Theis • F. A. Wolf
Conditional out-of-distribution generation for unpaired data using transfer VAE.
Bioinformatics 36.Supplement 2. Dec. 2020. DOI
S. Klau • M.-L. Martin-Magniette • A.-L. Boulesteix • S. Hoffmann
Sampling uncertainty versus method uncertainty: a general framework with applications to omics biomarker selection.
Biometrical Journal 62.3. May. 2020. DOI
M. Herrmann • P. Probst • R. Hornung • V. Jurinovic • A.-L. Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data.
Briefings in Bioinformatics. Aug. 2020. DOI
J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI
D. S. Fischer • Y. Wu • B. Schubert • F. J. Theis
Predicting antigen specificity of single T cells based on TCR CDR3 regions.
Molecular Systems Biology 16.8. Aug. 2020. DOI
V. Bergen • M. Lange • S. Peidli • F. A. Wolf • F. J. Theis
Generalizing RNA velocity to transient cell states through dynamical modeling.
Nature Biotechnology 38. Aug. 2020. DOI
S. Sachs • A. Bastidas-Ponce • S. Tritschler • M. Bakhti • A. Böttcher • M. A. Sánchez-Garrido • M. Tarquis-Medina • M. Kleinert • K. Fischer • S. Jall • A. Harger • E. Bader • S. Roscioni • S. Ussar • A. Feuchtinger • B. Yesildag • A. Neelakandhan • C. B. Jensen • M. Cornu • B. Yang • B. Finan • R. D. DiMarchi • M. H. Tschöp • F. J. Theis • S. M. Hofmann • T. D. Müller • H. Lickert
Targeted pharmacological therapy restores β-cell function for diabetes remission.
Nature Metabolism 2. Feb. 2020. DOI
N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI
C. Stachl • Q. Au • R. Schoedel • S. D. Gosling • G. M. Harari • D. Buschek • S. T. Völkel • T. Schuwerk • M. Oldemeier • T. Ullmann • H. Hussmann • B. Bischl • M. Bühner
Predicting personality from patterns of behavior collected with smartphones.
Proceedings of the National Academy of Sciences 117.30. Jul. 2020. DOI
#research #top-tier-work #bischl #boulesteix #theis

Related

Link to Björn Ommer: How AI can transform society if we use it responsibly

28.04.2026

Björn Ommer: How AI Can Transform Society if We Use It Responsibly

MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.

Read more
Link to Teaching NLP in the LLM Era: Workshop TeachNLP 2026

23.04.2026

Teaching NLP in the LLM Era: Workshop TeachNLP 2026

MCML member Matthias Aßenmacher co-organized TeachNLP 2026, a workshop on designing NLP courses in the era of generative AI and LLMs.

Read more
Link to When Vision AI Hallucinates Details

23.04.2026

When Vision AI Hallucinates Details

Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.

Read more
Link to MCML at ICLR 2026

22.04.2026

MCML at ICLR 2026

MCML researchers are represented with 36 papers at ICLR 2026 (33 Main, and 3 Workshops).

Read more
Link to Research Highlights from Germany’s AI Competence Centers

20.04.2026

Research Highlights from Germany’s AI Competence Centers

Several research projects associated with MCML are highlighted in the “Successes of German AI Research” overview.

Read more
Back to Top