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02.01.2023

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MCML Researchers in Highly-Ranked Journals

43 Papers in 2023 Highlight Scientific Impact

We are happy to announce that MCML researchers are represented in 2023 with 43 papers in highly-ranked journals. Congrats to our researchers!

D. RügamerC. Kolb • N. Klein
Semi-Structured Distributional Regression.
American Statistician. Feb. 2023. DOI
J. Maly
Robust sensing of low-rank matrices with non-orthogonal sparse decomposition.
Applied and Computational Harmonic Analysis 67. Nov. 2023. 2024 ACHA Charles Chui Young Researcher Best Paper Award. DOI
Q. Khan • I. Sülö • M. Öcal • D. Cremers
Learning vision based autonomous lateral vehicle control without supervision.
Applied Intelligence 53. Mar. 2023. DOI GitHub
D. Bär • N. Pröllochs • S. Feuerriegel
New Threats to Society from Free-Speech Social Media Platforms.
Communications of the ACM 66.10. Sep. 2023. DOI
M. Rezaei • F. Soleymani • B. Bischl • S. Azizi
Deep Bregman divergence for self-supervised representations learning.
Computer Vision and Image Understanding 235.103801. Oct. 2023. DOI
A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Langzeitveränderungen des Impfschutzes vor schweren COVID-19-Verläufen.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI
A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Trends in the Protection Against Severe Courses of COVID-19 by Vaccination.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI
M. Toetzke • B. Probst • S. Feuerriegel
Leveraging large language models to monitor climate technology innovation.
Environmental Research Letters 18.9. Sep. 2023. DOI
B. X. W. Liew • D. Rügamer • Q. Mei • Z. Altai • X. Zhu • X. Zhai • N. Cortes
Smooth and accurate predictions of joint contact force timeseries in gait using overparameterised deep neural networks.
Frontiers in Bioengineering and Biotechnology 11. Jul. 2023. DOI
A. KarollusJ. Hingerl • D. Gankin • M. Grosshauser • K. Klemon • J. Gagneur
Species-aware DNA language models capture regulatory elements and their evolution.
Genome Biology 35.83. Apr. 2023. DOI
C. WachingerT. N. Wolf • S. Pölsterl
Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank.
Heliyon 9.11. Nov. 2023. DOI
F. OttD. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access 11. Aug. 2023. DOI
J. Pan • C. Zhou • M. GladkovaQ. KhanD. Cremers
Robust Autonomous Vehicle Pursuit without Expert Steering Labels.
IEEE Robotics and Automation Letters 8.10. Oct. 2023. DOI
S. Klenk • L. Koestler • D. Scaramuzza • D. Cremers
E-NeRF: Neural Radiance Fields from a Moving Event Camera.
IEEE Robotics and Automation Letters 8.3. Mar. 2023. DOI
X. Zuo • N. Yang • N. Merrill • B. Xu • S. Leutenegger
Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion.
IEEE Robotics and Automation Letters 8.6. Jun. 2023. DOI
T. Beker • H. Ansari • S. Montazeri • Q. Song • X. Zhu
Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI
S. Chen • Y. Shi • Z. XiongX. Zhu
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
F. Zhou • X. Sun • C. Sun • J. Dong • X. Zhu
Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub
C. Koller • G. Kauermann • X. Zhu
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance in Earth Observation?
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub
F. Xu • Y. Shi • P. Ebel • W. Yang • X. Zhu
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub
H. Boche • A. FonoG. Kutyniok
Limitations of Deep Learning for Inverse Problems on Digital Hardware.
IEEE Transactions on Information Theory 69.12. Dec. 2023. DOI
F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification.
IEEE Transactions on Neural Networks and Learning Systems 35.12. Dec. 2023. DOI URL
Ç. Yapar • R. Levie • G. Kutyniok • G. Caire
Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach.
IEEE Transactions on Wireless Communications 22.12. Dec. 2023. DOI
M. Rezaei • A. Vahidi • B. Bischl • T. Elze • M. Eslami
Self-supervised Learning and Self-labeling Framework for Glaucoma Detection.
Investigative Ophthalmology and Visual Science 64.8. Jun. 2023. URL
A. T. Stüber • S. Coors • B. SchachtnerT. WeberD. RügamerA. BenderA. Mittermeier • O. Öcal • M. Seidensticker • J. Ricke • B. BischlM. Ingrisch
A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC.
Investigative Radiology 58.12. Dec. 2023. DOI
T. Tornede • A. Tornede • J. Hanselle • F. Mohr • M. WeverE. Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions.
Journal of Artificial Intelligence Research 77. Jun. 2023. DOI
B. X. W. Liew • F. M. Kovacs • D. Rügamer • A. Royuela
Automatic variable selection algorithms in prognostic factor research in neck pain.
Journal of Clinical Medicine. Sep. 2023. DOI
D. SchalkB. BischlD. Rügamer
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization.
Journal of Computational and Graphical Statistics 32.2. Apr. 2023. DOI
S. Schallmoser • T. Zueger • M. Kraus • M. Saar-Tsechansky • C. Stettler • S. Feuerriegel
Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.
Journal of Medical Internet Research 25. Feb. 2023. DOI
T. Nagler • T. Vatter
Solving Estimating Equations With Copulas.
Journal of the American Statistical Association 119.546. Mar. 2023. DOI
C. Fritz • G. De Nicola • S. Kevork • D. Harhoff • G. Kauermann
Modelling the large and dynamically growing bipartite network of German patents and inventors.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 186.3. Jul. 2023. DOI
V. BengsE. Hüllermeier
Multi-armed bandits with censored consumption of resources.
Machine Learning 112.1. Jan. 2023. DOI
M. Lotfollahi • A. K. Susmelj • C. De Donno • L. Hetzel • Y. Ji • I. L. Ibarra • S. R. Srivatsan • M. Naghipourfar • R. M. Daza • B. Martin • J. Shendure • J. L. McFaline‐Figueroa • P. Boyeau • F. A. Wolf • N. Yakubova • S. Günnemann • C. Trapnell • D. Lopez‐Paz • F. J. Theis
Predicting cellular responses to complex perturbations in high‐throughput screens.
Molecular Systems Biology 19.e11517. Jun. 2023. DOI
D. S. Fischer • A. C. SchaarF. J. Theis
Modeling intercellular communication in tissues using spatial graphs of cell.
Nature Biotechnology 41. Mar. 2023. DOI
S. Feuerriegel • R. DiResta • J. A. Goldstein • S. Kumar • P. Lorenz-Spreen • M. Tomz • N. Pröllochs
Research can help to tackle AI-generated disinformation.
Nature Human Behaviour 7. Nov. 2023. DOI
L. Heumos • A. C. Schaar • C. Lance • A. Litinetskaya • F. Drost • L. Zappia • M. D. Lücken • D. C. Strobl • J. Henao • F. Curion • S.-c. Best Practices Consortium • H. B. Schiller • F. J. Theis
Best practices for single-cell analysis across modalities.
Nature Reviews Genetics 24. Mar. 2023. DOI
T. UllmannS. Peschel • P. Finger • C. L. MüllerA.-L. Boulesteix
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
PLOS Computational Biology 19.1. Jan. 2023. DOI
D. Wolffram • S. Abbott • M. an der Heiden • S. Funk • F. Günther • D. Hailer • S. Heyder • T. Hotz • J. van de Kassteele • H. Küchenhoff • S. Müller-Hansen • D. Syliqi • A. Ullrich • M. Weigert • M. Schienle • J. Bracher
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
PLOS Computational Biology 19.8. Aug. 2023. DOI
F. Bongratz • A.-M. Rickmann • C. Wachinger
Abdominal organ segmentation via deep diffeomorphic mesh deformations.
Scientific Reports 13.1. Oct. 2023. DOI
F. KrahmerA. Veselovska
Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation.
SIAM Journal on Imaging Sciences 16.3. Jul. 2023. DOI
D. Rügamer • P. Baumann • T. Kneib • T. Hothorn
Probabilistic Time Series Forecasts with Autoregressive Transformation Models.
Statistics and Computing 33.2. Feb. 2023. DOI
R. Raab • A. Küderle • A. Zakreuskaya • A. D. Stern • J. Klucken • G. KaissisD. Rückert • S. Boll • R. Eils • H. Wagener • B. M. Eskofier
Federated electronic health records for the European Health Data Space.
The Lancet Digital Health 5.11. Nov. 2023. DOI
C. Reinkemeyer • Y. Khazaei • M. Weigert • M. Hannes • R. Le Gleut • M. Plank • S. Winter • I. Norena • T. Meier • L. Xu • R. Rubio-Acero • S. Wiegrebe • T. G. Le Thi • C. Fuchs • K. Radon • I. Paunovic • C. Janke • A. Wieser • H. Küchenhoff • M. Hoelscher • N. Castelletti •  KoCo Impf ORCHESTRA Working Grp
The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers.
Viruses 15.7. Jul. 2023. DOI
#research #top-tier-work #bischl #boulesteix #cremers #feuerriegel #fornasier #gagneur #guennemann #huellermeier #ingrisch #kaissis #kauermann #krahmer #kuechenhoff #kutyniok #leutenegger #maly #mueller #nagler #rueckert #ruegamer #theis #wachinger #zhu
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